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July 22: From BI to AI (Askdata, Cloudera, DataRobot, Datatron, Microsoft Azure, Oracle, Pecan AI, SAP, Talend)

Hiring

Debanjan Saha Steps Into DataRobot Interim CEO Role

DataRobot President and COO Debanjan Saha has been appointed interim CEO in the wake of Dan Wright stepping down from the CEO position. Saha joined DataRobot in February 2022. Prior to DataRobot, Saja was the VP and GM of Data Analytics at Google, as well asthe VP and GM for Amazon Aurora and RDS. Saha also spent a decade at IBM, primarily in storage and analytics.

Wright will continue with DataRobot in an advisory role during the executive search for a permanent CEO.

Launches and Updates

Datatron Releases Version 3.0

MLOps platform Datatron released version 3.0 this week. Key new features include integration with JupyterHub, allowing data scientists to operationalize models directly from their notebook-interface coding environment; simpler deployment and management facilities ffor all three major cloud platforms without needing to learn or manage Kubernetes; and an updated logging and operations dashboard, along with single sign-on support.

Oracle and Microsoft Present Oracle Database Service for Microsoft Azure

On July 20, Oracle and Microsoft announced Oracle Database Service for Microsoft Azure. Azure customers will be able to provision, access, and monitor Oracle Database services in Oracle Cloud Infrastructure, connecting OD services running on OCI with apps in Azure that use data from those services. Oracle Database Service for Microsoft Azure is generally available now.

Pecan AI Debuts One-Click Data Science Model Deployment

Low-code automated predictive analytics company Pecan AI added one-click machine learning model deployment to its platform this week. Pecan also added model monitoring targeted towards low-code users, alerting them when models show signs of degradation. These two additions join existing features on the Pecan platform to automate all aspects of model creation and deployment.

Partnerships

Talend Enhances Cloudera Data Platform Support

Data integration platform Talend added new certifications for Cloudera Data Platform on the Public Cloud, and CDP data services including Data Engineering and Data Hub. Talend also revealed new native integrations with CDP Engineering, allowing data teams to autoscale Spark jobs without needing to manually configure and scale clusters.

Acquisitions

SAP Acquires Search Analytics Startup Askdata

SAP has acquired Italian search-driven analytics startup Askdata for an undisclosed sum. Askdata uses machine learning and natural language processing models to make it easier for less-technical users to interrogate data in place. Askdata will become part of a future analytics solution for SAP Analytics Cloud.

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June 10: From BI to AI (Amazon SageMaker, Databricks, Dataiku, DataRobot, Expert.ai, Google Cloud, Immuta, Informatica, KNIME, Labelbox, Matillion, Neo4j, NVIDIA, Qlik, RapidMiner, Snowflake, Teradata, TIBCO)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Immuta Raises $100 Million Series E Round

On June 8, secure data access platform Immuta announced that it had raised $100M in Series E funding. NightDragon led the round, with participation from new investor Snowflake Ventures, and prior investors Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, StepStone, Ten Eleven Ventures, and Wipro Ventures. Immuta will use the funds for additional hiring in sales, marketing, and customer success, as well as continued R+D and building out strategic partnerships with other vendors in the cloud data space.

Matillion Reveals Strategic Investment from Citi Ventures

Enterprise cloud data integration platform Matillion announced a strategic investment from Citi Ventures this week for an undisclosed amount. Matillion’s last publicly shared valuation was $1.5B, after their series E round last September for $150M.

Launches, Updates, and Partnerships

Databricks Delivers Data Lineage For Unity Catalog

Databricks announced that data lineage for Unity Catalog is now available in preview on AWS and Microsoft Azure. The data lineage feature will let customers understand the history of any data in their lakehouse – where it came from, when was it created, who created it, how has it been modified from the original raw data import, and how it’s being used, among other features. Because this is done automatically, the results save time and provide better accuracy compared to manually tagging data with the relevant metadata, and allow organizations to better meet compliance standards and relevant regulations.

Dataiku Arrives on Azure

Dataiku announced a partnership with Microsoft Azure this week, launching the Dataiku cloud AI platform in the Azure cloud. Dataiku’s new cloud stack accelerator capability allows for automated deployment, configuration, and management of Dataiku’s Everyday AI platform on Azure with a template-based approach.

DataRobot Debuts AI Cloud Improvements at DataRobot AIX 2022

At DataRobot AIX 2022, DataRobot announced a number of improvements to their AI Cloud product. Notable enhancements include code-first notebooks integrated into AI Cloud, bringing capabilities from the recent Zepl acquisition into DataRobot’s offerings and augmenting support for code-centric data scientists; expanded enterprise-level MLOps capabilities for the full model lifecycle, including integrations with GitHub, SumoLogic, Splunk, Datadog, and Zendesk; bias mitigation that automatically identifies and adapts machine learning models exhibiting detectable bias prior to deployment; and automated compliance documentation, even for models built outside of DataRobot. DataRobot also broadened their partnership with Google Cloud, launching AI Cloud in the Google Cloud Marketplace.

Expert.ai Imports Its Natural Language Capabilities to Qlik

Expert.ai announced this week that it has joined the Qlik Technology Partner Program. Qlik users will be able to use expert.ai language intelligence within Qlik Cloud, including natural language capabilities such as sentiment analysis, document categorization, and text disambiguation.

New Features and Partnerships for Google Cloud Vertex AI

At this week’s Google Cloud Applied ML Summit, Google revealed numerous new features and partnerships for their applied machine learning product, Vertex AI. Google’s existing NVIDIA partnership yielded one-click deploy of NVIDIA AI solutions to Vertex AI Workbench, as well as the new Vertex AI Training Reduction Server, which optimizes multi-node distributed training on NVIDIA GPUs, reducing training time for large language models like BERT. Google also announced a new data partnership with Neo4j, allowing data scientists to work with data and build models in Neo4j Graph Data Science, then deploy the models using Vertex AI. One more partnership with Labelbox provided yet another integration, reducing the time required to label unstructured data and speed up the model development process. Finally, Google also announced the preview of several standalone features: Vertex AI Tabular Workflows, allowing users to choose which parts of the model building and deployment processes they want to use AutoML for while being more hands-on with other parts; Serverless Spark for Vertex AI Workbench for data scientists to launch a server less spark session within a notebook; and Vertex AI Example-Based Explanations, which helps data scientists diagnose issues in their models using explainable AI techniques.

Informatica Updates Global Partner Program with Three Initiatives

Informatica revealed enhancements for its Global Channel Partner Program this week to boost partnered sales and support efforts for cloud modernization with joint customers. The new initiatives include incentives to source bookings for Gold and Platinum-level partners; sales, delivery, and technical certifications to help partners in their engagements with joint customers; and a points-based Channel Rewards program to recognize individuals for their contributions.

KNIME Announces Strategic Partnership with Snowflake

Open source data science company KNIME announced a strategic partnership with Snowflake. Users will be able to use the low/no-code KNIME Analytics Platform to perform analytics on data stored in Snowflake.

RapidMiner Releases New Version of Cloud Platform

RapidMiner announced the release of a new version of their data science platform. The latest version marks a move to the cloud as a multi-tenant, SaaS offering.

Teradata Vantage with Amazon SageMaker Launches

Enterprise data platform Teradata introduced Teradata Vantage, a multi-cloud analytics platform integrated with machine learning service Amazon SageMaker. The partnership will allow Teradata customers to access machine learning capabilities via Amazon and apply it to data and analytics hosted on Teradata.

Events

TIBCO Analytics Forum 2022 to Occur June 13-15

TIBCO Analytics Forum (TAF) returns June 13-15, 2022. The online-only event has a theme of “Analytics in Time and Space.” Featured speakers include Ben Shneiderman, computer science professor and founding director of the Human-Computer Interaction Laboratory at the University of Maryland; data visualization guru Nadieh Brehmer; David Baltar Boilève, data scientist at Hospital Universitario Lucus Augusti; Mark Lora, director of enterprise data systems, Taylor University; and Birchcliff Energy analytics engineer Monica Brookwell, among others. To register for the event, please visit TAF 2022

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June 3: From BI to AI (bodo.ai, Gigasheet, Incorta, One AI, Oracle, Rockset, Saturn Cloud)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Gigasheet Raises $7M Series A Round

Gigasheet, a no-code analytics platform, announced that they had secured $7M in Series A funding. Participants in the funding round included Accomplice, Argon, Founder Collective, and REV, along with individual investors. The funds will go towards filling out their product road map and expanding their future enterprise offering.

One AI Announces $8M Seed Round, Launches NLP-as-a-Service

One AI, a natural language processing provider, announced that they had raised $8M in seed funding from angel investors. Along with the funding, One AI emerged from stealth, launching their NLP-as-a-Service offering. Their Language Skills API includes a number of NLP models for specific business use cases such as conversation and article summarization, clustering and text analytics, and emotion and sentiment extraction, among others. Developers will be able to use these models to transform unstructured text into structured data.

Launches and Updates

Incorta Integrates Delta Sharing, Data Apps

Incorta, a realtime analytics platform, debuted new capabilities this week. Among the new features are a native Delta Sharing integration, allowing Incorta customers to securely share operational data more quickly. Incorta also launched several data apps that acquire operational data from source systems and prepare it for analysis, with already-built business schemas and dashboards for Oracle EBS, Oracle ERP and EPM Clouds, Netsuite, SAP, and others.

Rockset Reveals Oracle Integration

Analytics platform Rockset announced a new integration with Oracle this week, allowing developers to run search, aggregations, and joins on data from Oracle databases in real time. Rockset ingests change data capture streams from Oracle, enabling swift analytical queries.

Saturn Cloud and Bodo.ai Announce Partnership to Make Python Analytics More Performant

Data science and machine learning platform Saturn Cloud and parallel data compute platform bodo.ai have launched a partnership. Bodo.ai software running within Saturn Cloud resources will allow data scientists to scale up their model prototypes to “petabyte-scale parallel processing production” without requiring tuning or re-coding a model for scaling.

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May 6: From BI to AI (Accern, Domino, dotData, Exasol, Galileo, Google Cloud, Mathworks, Salesforce, Starburst)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Accern Raises $20M Series B Round

On May 2, Accern, a natural language processing platform for unstructured data streams, announced a $20M Series B round of financing. Fusion Fund and Mighty Capital co-led the round, with additional participation from Gaingels, Shasta Ventures, Tribe Capital, and Viaduct Ventures. The funding will go towards expanding sales and marketing.

dotData Closes $31.6M B Round

dotData, a data science automation platform, announced that it had raised a $31.6M Series B funding round. Otsuka Corporation, Sumitomo Mitsui Banking Corporation, and Sumitomo Mitsui Trust Bank, Ltd all participated in this round. dotData plans to use the money for product and service development, as well as expanding on sales efforts and business partnerships.

Galileo Emerges From Stealth with $5.1M Seed Round

Data intelligence platform Galileo emerged from stealth earlier this week with a $5.1M seed round. The Factory led the funding round, along with participation from additional angel investors. The funds will be used to accelerate hiring and R+D. The Galileo platform addresses data errors throughout the machine learning model lifecycle, focusing on unstructured data. Galileo is currently in private beta.

Launches and Updates

Domino 5.2 Release Announced, Generally Available in June

On May 5 at the Rev 3 conference, Domino Data Lab announced Domino 5.2, which will become generally available in June 2022. Key new features include the IntelliSize capability within Domino’s Durable Workspace, which will recommend the optimal size for a model development environment; a new data prep and visualization environment based on Apache Superset; integration with Snowflake to train models in-database in Snowpark, then deploy them to the Data Cloud for in-database scoring; and realtime model monitoring in the Snowflake Data Cloud.

Exasol Reveals New Capabilities for Exasol SaaS

Analytics database company Exasol announced that its Exasol SaaS database now interfaces natively with Keboola, a cloud-based Data Stack as a Service platform. In addition to the Keboola collaboration, additional new capabilities of Exasol SaaS include enhanced machine learning capabilities within the database, support for data virtualization without needing to migrate data, and an Amazon SageMaker extension that uses SageMaker AutoPilot to develop machine learning projects based on data stored in Exasol.

Google Cloud Launches New Data Solutions for Manufacturers

This week, Google Cloud launched two data solutions specifically for manufacturers, Manufacturing Data Engine and Manufacturing Connect. Manufacturing Data Engine integrates a number of key Google Cloud products (such as BigQuery and Looker, among others) with a platform for ingesting, transforming, storing, and providing access to factory data. Manufacturing Connect is an edge solution that can connect to and stream machine and sensor data from manufacturing assets and systems directly to Google Cloud.

MathWorks Launches Startup-Targeted Suites

MathWorks is now offering tech startups access to suites that include MATLAB, Simulink, and over 100 industry-specific development tool stacks at a reduced price. Startups who meet MathWorks’ criteria as determined through an application process may be eligible for “startup-friendly” pricing based on company size, annual revenue, and how long the company has been in business. Access to the MATLAB suite for qualified startups now starts at $1500 for an individual seat, while pricing for the MATLAB and Simulink suite starts at $3600 for an individual seat. Electric vehicle and automated driving startups are highlighted as particular areas of interest on the MathWorks for Startups website.

Starburst Announces New Capabilities for Galaxy, Enterprise

At the Trino Summit this week, analytics engine company Starburst revealed new capabilities for its Starburst Galaxy and Starburst Enterprise products. Galaxy now includes a new lakehouse capability, Great Lakes Connector for object storage catalogs, which now supports the Iceberg and Delta Lake table formats in addition to Apache Hive, allowing access to all of these formats in one data lake. New features for Enterprise include built-in access control for consistent governance across Enterprise, as well as a REST API to make it easier to build and use data products.

Hiring

CIA CISO Joins Salesforce – Salesforce News

On May 5, Salesforce announced that former CIA Chief Information and Security Officer William MacMillan has joined Salesforce as the SVP of Security Product and Program Management, BISO, and Acquisition Integration. MacMillan joins Salesforce after a nearly 20-year career with the CIA culminating in the CISO role. Prior to that, MacMillan was a combat rescue and special operations pilot in the Air Force.

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April 8: From BI to AI (Accenture, Ascend.io, Atlassian, Confluent, Databricks, Dataiku, data.world, Deloitte, Elastic, Fivetran, Gamma Soft, Google Cloud, Instaclustr, LightBeam.ai, MongoDB, Monitaur, Neo4j, NetApp, ReadySet, Redis, Starburst, Talend)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Ascend.io Announces $31 Million Series B Funding Round

On April 6, Ascend.io, a data and analytics engineering automation platform, announced that they had secured a $31M Series B round of financing. Tiger Global led the round, with participation from existing investor Accel and new investor Shasta Ventures. The funding will be used to expand go-to-market efforts and target geographies, as well as broadening the scope of supported cloud platforms.

data.world Announces $50M Series C Funding Round

On April 5, data.world, an enterprise data catalog, announced a $50M Series C funding round. Goldman Sachs’’s Growth Equity group led the funding round. Additional contributions came from Prologis Ventures, Sandbox Insurtech Ventures, Shasta Ventures, Vopak Ventures, and individual angel investors. Funding will go towards hiring, global geographic expansion, and product development.

ReadySet Launches, Reveals $29M in Early Funding

On April 5, ReadySet, a SQL caching engine, officially launched, revealing $29M in seed round and Series A funding. Index Ventures led the A round, with participation by Amplify Partners and additional angel investors. The funding will go towards product development.

Product Launches and Updates

Welcoming Atlassian Data Lake and Atlassian Analytics

Atlassian announced new capabilities of its Atlassian Platform at its Team 22 event earlier this week. The Atlassian Data Lake will gather data from the various Atlassian apps in one place for convenient querying. At launch, the focus is on data from Jira Software and Jira Service Management, but Atlassian plans to include its other apps soon. As for actually analyzing the data, Atlassian used technology from its Chartio acquisition last year to build Atlassian Analytics, which connects to the Atlassian Data Lake and generates analytics and visualizations of data both in the data lake, and combined with third-party data as well.

Databricks Makes Delta Live Tables Generally Available

On April 5, Databricks announced that Delta Live Tables was now generally available. Delta Live Tables automates repetitive, time-consuming parts of data pipeline operation and maintenance so that data engineers and analysts can focus on the actual data.

LightBeam.ai Debuts its Data Privacy Automation Platform

LightBeam.ai came out of stealth mode April 6, announcing the general availability of its data privacy automation platform. LightBeam consolidates and automates data compliance processes that are often manually managed at the moment, helping companies abide more strictly by data privacy regulations.

Monitaur Launches GovernML Addition to ML Assurance Platform

Monitaur, an AI governance company, announced the general availability of GovernML on April 6, part of its ML Assurance suite to monitor machine learning models for bias, risk, and other behavioral issues. GovernML will create a system of record providing a governance offering around the AI lifecycle, offering key features such as policy management, technical monitoring, and human oversight of model performance and results.

Partnerships and Acquisitions

Debuting the Data Cloud Alliance

On April 5, Google Cloud joined with nearly a dozen other companies (Accenture, Confluent, Databricks, Dataiku, Deloitte, Elastic, Fivetran, MongoDB, Neo4j, Redis, and Starburst) to found the Data Cloud Alliance, committing to making data more accessible and mobile across a wide variety of environments. Alliance members will strive to reduce complexity in data environments by providing infrastructure, APIs, and support for data portability and accessibility between platforms, working towards building digital data standards the members will support in common.

NetApp Announces Intent to Acquire Instaclustr

NetApp announced April 7 that it had signed a definitive agreement to acquire Instaclustr, a database and data app deployment service. While NetApp has long been known for its data storage capabilities, its acquisition of Instaclustr is the latest in a series of procurements reflecting a significant expansion of data management capabilities among their offerings.

Talend Acquires Gamma Soft

On April 7, data integration company Talend announced that it had acquired Gamma Soft, a change data capture company. Combining Gamma Soft’s change data capture capabilities with Talend’s data integration and management functionality will help Talend customers process data changes more quickly.

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April 1: From BI to AI (Alteryx, Arize AI, Black Crow AI, Cloudera, Datafold, dbt Labs, Indico, Oracle, Pinecone, Snowflake, Tableau)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Black Crow AI Raises $25 Million Series A
On March 31, Black Crow AI, a digital-commerce-focused no-code machine learning company, announced that it had raised $25M in Series A funding. The round was led by Imaginary Ventures; other participants included Good Friends, Interplay, Left Lane, and Red Antler, as well as individual investors who primarily have founded digital commerce companies. Black Crow AI will use the funds to accelerate R+D of new machine learning use cases in digital commerce and related verticals.

Amalgam’s Insight: No-code machine learning is an approach that will quickly move into all verticals and be used to bring models and complex analysis to line-of-business employees. Data analysts should keep track of the no-code solutions appearing in their industries as potential augmentations to their existing analytics toolkits.

Pinecone Announces $28M Series A Financing
On March 29, Pinecone Systems, a vector database company, announced that they had completed a $28M Series A financing round. Menlo Ventures led the round, with participation from new investor Tiger Global and previous investor Wing Venture Capital. Tim Tully, partner at Menlo Ventures, will join Pinecone’s Board of Directors as part of the transaction. The funding will go towards hiring in product, customer success, and R+D, with specific investments in machine learning, information retrieval, and natural language processing research.

Amalgam’s Insight: Amalgam Insights continues to posit that enterprises need multiple data formats to support high performance analytics and machine learning, including vector and graph-based approaches. No company ever brags about having the most outdated and least useful data technology, and for good reason. Amalgam also notes the engagement of the ever-present Tiger Global in this round as Tiger continues to be an aggressive investor in emerging tech.

Product Launches and Updates

Arize AI Launches Self-Serve Access Option, Free Tier
Arize AI, a machine learning observability company, announced the latest version of their platform at their Arize:Observe 2022 Summit this week. Notable enhancements include self-serve options, as well as a free tier that allows access to the full Arize platform for up to two models, 500 features per model, and half a million production predictions per month.

Amalgam’s Insight: Observability for machine learning models and applications continues to be a struggle both to support highly performant models and to provide visibility and lineage from data quality and output effectiveness perspectives. This announcement provides developers and data scientists seeking to operationalize machine learning with a free option to automate aspects of the boring side of ML monitoring.

Indico Data Unveils Indico 5
Indica, an unstructured data processing platform, released Indico 5 this week. New features include automatic document unbundling, even of complex PDFs such as mortgages; linked labels that capture the relationships between document elements; native support for reading over 70 languages, both in print and in handwriting; and Workflow Canvas, a visual interface for users to build and review their document processing automated workflows.

Amalgam’s Insight: Document parsing and tracking are still challenging across banking, healthcare, insurance, legal, and contract management use cases. Language processing capabilities that were considered highly specialized in the past are quickly becoming standardized and expected in the workplace.

Oracle Announces MySQL HeatWave ML
On March 29, Oracle announced that Oracle MySQL Heatwave now supports in-database machine learning. Previously, Heatwave supported transaction processing and analytics. With the new machine learning support, both the data and model reside in the database, making moving the data and model for training no longer necessary.

Amalgam’s Insight: Bringing modeling into the database is a significant performance advantage for MySQL-based machine learning to create ML-friendly data marts. Today’s data world is increasingly complicated as options now exist to bring analytics and machine learning capabilities to the data without needing to move the data. Oracle’s take on this trend is indicative of a potential approach for database providers to move upmarket by taking over some or all of the machine learning support responsibilities. And brining Heatwave in-database provides additional modernization to go with Autopilot, which we saw last year.

Snowflake Launches Retail Data Cloud
On March 28, Snowflake launched the Retail Data Cloud, focused on the data needs of retailers, manufacturers, distributors, and consumer packaged goods vendors and their technology partners. As part of this launch, a number of technology vendors announced related Partner Solutions, including partners like Amazon, DataRobot, Dataiku, Robling, and Tableau.

Amalgam’s Insight: At first glance, this reminds us of the Informatica announcement for the Data Management Cloud for Retail last week. Retail is always a challenging arena for managing data and Snowflake seeks to show its market presense both with this launch and their 1,000+ retail and Consumer Packaged Goods clients.

Tableau 2022.1 Release
Tableau released version 2022.1 earlier this week. Highlights include the new Workbook Optimizer, which evaluates workbook characteristics against known best practices and flags potential improvements in design and speed; improvements to search; Ask Data enhancements permitting a hybrid approach for asking data questions that are hard to put into natural language; Enterprise Deployment Guidelines to help enterprise architects optimize Tableau Server deployment; and setting resource limits on jobs that run in the background on Tableau Server.

Amalgam’s Insight: Tableau continues to focus on the data analyst and is starting to take full advantage of having moved to the cloud in being able to improve workbooks based on the best practices of other Tableau users. In addition, Tableau continues to show improvements in scaling Tableau Server as it continues to be a standard in enterprise analytics.

Partnerships

Datafold and dbt Labs Partner, Launch Integration to Deliver Trusted Data Faster
On March 30, Datafold and dbt Labs announced that they had partnered to produce an integrated way to deliver trusted data faster. Complex data models needing regular updates require testing to understand how they ought to perform in production, but analytics engineers don’t have time to write the thousands of tests needed for a proper evaluation. Datafold now automates regression test creation, saving analytics engineers time in deploying updates to dbt Labs data models in production.

Amalgam’s Insight: Regression testing is a time-consuming aspect of bringing data into production and this challenge will only continue to be more difficult with time as the volume and variety of data increase. Test automation must be brought into any organization seeking to significantly scale the amount of data it wants to analyze.

Hiring

Alteryx Selects Gari Johnson as Senior Vice President of Asia Pacific and Japan
On March 28, Alteryx announced that they had appointed Gari Johnson as the senior Vice President of Asia Pacific and Japan, leading business strategy and operations for Alteryx in the region. Johnson joins Alteryx from Zendesk, where he was the Senior Vice President of JAPAC (Japan and Asia Pacific). Prior to Zendesk, Johnson was the Area Vice President APAC in Cloud Sales at Salesforce, leading the Enterprise Sales team for cloud solutions.

Amalgam’s Insight: Alteryx continues to expand its executive reach on a global basis to fully access its potential addressable market. Amalgam Insights looks forward to seeing how this affects both Alteryx’s direct sales approaches and partnerships in APAC.

Cloudera Welcomes Chief Strategy Officer, Chief Legal Officer, EVP+GM of Cloud
Cloudera announced a slew of executive appointments this week. Abhas moves into the Chief Strategy Officer position, after having served as Chief of Staff and Vice President for Business Transformation at Cloudera subsequent to the merger with Hortonworks. At Hortonworks, Abhas was the Senior Director Global Head of Strategy, Innovation, and Sales. Irma Laxamana advances to Chief Legal Officer from her previous position of Deputy General Counsel, Vice President, also within Cloudera. Laxamana came over to Cloudera with the Hortonworks merger as well, having served as VP and Deputy General Counsel for five years there. Prior to that, Laxamana also served as Senior Counsel at GoodData and VMware. Prat Moghe moves up to the EVP and GM of Cloud post from a year as the SVP of Cloud at Cloudera. Moghe’s prior company, Cazena, was also acquired by Cloudera; he was the founder and CEO there.

Amalgam’s Insight: Cloudera expands its C-Suite as its corporate integrations have completed and Cloudera has identified multiple executives to elevate. Amalgam finds it especially interesting to see Prat Moghe, a multiple-time founder, being promoted to GM of Cloud and looks forward to seeking how this affects Cloudera’s roadmap.

Events

Alteryx Announces Hybrid 2022 Inspire Conference
Alteryx Inspire 2022, Alteryx’s annual customer and partner conference, will take place in person this year, May 16-19 in Denver, CO, as well as online. Highlights include an executive summit for line-of-business, data, and IT executives; opportunities for product training and professional development; and the return of the Alteryx Grand Prix, where Alteryx power users solve analytics challenges at speed relying on their knowledge of the Alteryx toolkit. Register to attend Alteryx Inspire.

Amalgam’s Insight: The Alteryx Grand Prix is one of the most interesting activities in analytics, as it successfully turns data analyst work into a spectator sport. Our analysts have been to Alteryx events since 2013 working for a variety of companies and can vouch that it is a must-watch for anyone interested in analytic challenges. Interestingly, this event is happening at the same time as Tableau Conference (May 17-19) and it will be interesting to see if these once-close partners provide competing or joint products at their events.

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Upcoming Amalgam Insights Report Alert: “Control Your Cloud”

The Big Takeaway: Cloud computing spending has reached new heights. Organizations need guidance to avoid wasting money. The “Control Your Cloud” SmartList will provide guidance for enterprises struggling to manage cloud costs.

Amalgam Insights forecasts that global spending on public cloud computing — including infrastructure and software — will total more than $350 billion in 2022. Driven by the ongoing COVID-19 pandemic and concurrent digital transformation projects, organizations will continue to invest in the cloud, to the tune of more than 20% this year. And the greater the investment made in cloud, the more room for waste. 

Savvy stakeholders, especially those who already pay attention to expenses in other technology categories (mobility, telecom, Software as a Service), know that uncontrolled cloud computing will significantly reduce any return on investment. Just as with wireless or networking or other strategic IT spend categories, department heads must come together to craft a strategic approach to overseeing cloud computing deployments and expenses. The stakes are too high.

Consider the wider perspective: Between 2020 and 2021, spending on public infrastructure as a service (IaaS) and platform as a service (PaaS) soared 37%. In numbers, that totals a $60 billion increase. 

Kelly Teal, Senior Research Analyst, Amalgam Insights

COVID-19, of course, served as the impetus for much of that growth. Anecdotally, cloud computing vendors have reported that the demand they expected to serve around 2030 hit a decade earlier because of the pandemic. As governments worldwide mandated lockdowns, organizations had to rush to support work-from-home setups for employees. Cloud computing delivered many of the capabilities businesses needed; IT teams scrambled, often cobbling together solutions that met staff needs but were not cost-effective. Leaders spent much of 2021 trying to rectify those issues, yet more cleanup remains to be done. Contractual obligations, employee preferences, and heavy lifting associated with a technology shift all can slow the process. 

At the same time, organizations face new challenges in 2022. Inflation rose by 7% by the end of 2021, just in the United States, according to the Consumer Price Index. Everyone is paying more for the same products and services, and wages are not keeping pace. Revenue may not make up for the gap, either. This leaves executives and line-of-business leaders more aware of spending than perhaps ever. Cloud computing represents a major area ripe for attention. 

Cloud computing also accelerates the ability to bring new ideas to market and execute on business opportunities. At a time when the attention and relationship economies require deeper and more data-driven understanding of customers, cloud computing allows access to the analytics, machine learning, and relevant connections that achieve that. Organizations need to translate new ideas into fully-fledged business units without investing millions of dollars in upfront cost on computing assets.

However, IT should not act alone when it comes to deciding how to manage cloud computing expenses just for the sake of getting the job done in a convenient way. Cloud computing, just like its wireless and telecom counterparts, impacts the entire organization. Therefore, the finance, IT, revenue, security, and governance departments all must be involved, on some level, in overseeing cloud computing investments. For example, executives in charge of budgeting need to understand cloud computing costs; IT must select and manage platforms and assign and monitor users and consumption; software development and IT architects need to tag and track resources as cloud services are spun up and down; and data experts have to ensure that the organization’s information within the various cloud resources stays in line with laws such as Europe’s General Data Protection Regulation (GDPR). 

Cloud computing is complicated. Executives across the organization need a deeper understanding of the intricacies so they can work together to spend wisely while ensuring no critical aspect goes overlooked. Amalgam Insights is stepping in to guide organizations through these considerations with our upcoming Vendor SmartList, “Control Your Cloud: Why Organizations Need Cloud Cost Management Capabilities in 2022.” 

Executives seeking to control cloud expenses need to read this report because it will provide expert analysis on the key cloud cost containment challenges of 2022 and the differentiated approaches to reduce and optimize cloud costs. The report also will features vendor profiles that cut through the hype and show why each vendor is different in a sector where marketing messages all seem to focus on the same starting points of reducing cost, providing financial visibility, and improving cross-departmental collaboration. This last issue emphasizes an important point: The profiles do not rank the providers that brief with Amalgam Insights. Rather, Amalgam Insights explores what makes each vendor different and offers guidance on why that vendor is currently chosen in a crowded marketplace. This level of detail gives organizations the knowledge to pinpoint which vendor(s) might best meet their needs for cloud computing cost management. 

The following stakeholders all will need to read and act on the report: Chief Technology Officers, Chief Information Officers, Chief Financial Officers, “Shadow IT” managers in sales and marketing, DevOps Directors and Managers, IT Architects, Vice President/Director/Manager of IT Operations, Product Managers, IT Sourcing Directors and Managers, IT Procurement Directors and Managers, IT Service Providers and Resellers. Each of these roles is crucial to achieving cloud computing success throughout the organization.

Control Your Cloud: Why Organizations Need Cloud Cost Management Capabilities in 2022” will publish in the second quarter of 2022. 

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Market Alert: NetApp Agrees to Acquire CloudCheckr to Improve Cloud Cost Environments

On October 4th, 2021, NetApp announced a definitive agreement to acquire CloudCheckr, a market leader in cloud financial and operational optimization. NetApp positions this acquisition as accretive to its agreement to acquire Spot (now called Spot by NetApp post-acquistion) in June 2020 to support hybrid cloud optimization and usage management. This Market Alert explains why NetApp agreed to purchase CloudCheckr and provides recommendations for cloud professionals seeking to make a decision on purchasing or evaluating a cloud cost, cloud optimization, or Cloud FinOps (Financial Operations) solution.

About CloudCheckr

CloudCheckr was founded in 2011 in Rochester, New York in the United States as a solution to support the cost management, operational automation, compliance, and security of cloud Infrastructure as a Service. CloudCheckr was founded by Aaron Klein and Aaron Newman, who currently serves as Chairman. Over the past decade, CloudCheckr has gained over $4 billion dollars in spend under management to support over 600 clients and 10,000 employee users.

CloudCheckr raised its first significant round of funding in 2017, when it announced a massive $50 million Series A round from Level Equity. (Note: This acquisition occurred a couple of months before Amalgam Insights was founded, but I covered this announcement at my previous firm.)

This unusually large round of funding was justified by CloudCheckr’s status as a profitable bootstrapped organization with the opportunity to scale in a high growth area. At the time, CloudCheckr had over 150 clients and $1 billion in spend under management, meaning that the organization has grown roughly four times as large over the last four years after this initial round of funding. CloudCheckr also raised a second round of $15 million in 2019 from Level Equity to support product and engineering capabilities around the same time that the firm appointed Tim McKinnon as CEO.

Contextualizing the CloudCheckr Acquisition

Cloud optimization has been a rapidly growing market for several reasons: the IT Rule of 30, the growth of the IaaS market, and the nascent and emerging nature of best practices for managing cloud computing.

First, Amalgam Insights’ IT Rule of 30, which states that every unmanaged IT subcategory averages 30% waste, is definitely true in for Infrastructure as a Service (IaaS), where cloud spend is poorly governed and where end users, procurement, accounting, and finance are rarely working together as a team to manage these costs in a coordinated fashion. From a cloud perspective, this percentage roughly equates to moving from about 50% utilization to 80%+ utilization of provisioned services based on active monitoring of services.

Second, the IaaS market as a whole continues to grow roughly 25% per year as roughly 60% of institutional or enterprise-grade storage and compute is in the cloud rather than an asset-intensive data center investment.

Third, cloud IaaS billing and product deployment are still fairly immature or agile (depending on your point of view) with rapid launches, updates, changes, and obsolescence based on adoption trends and customer requests. From a functional perspective, this rapid change can often provide great value, but it also means that the financial expectations associated with instances can often change without any formal change management, billing review, or contractual review. All of these trends lead to a volatile billing, usage management, and compliance environment that is difficult to manage without a combination of proactive analysis, alerts, and holistic visualization.

How CloudCheckr Augments Spot by NetApp

NetApp’s acquisition of CloudCheckr fits well into the trends of this space and can be seen as part of a trend of acquisitions that includes Apptio’s 2019 acquisition announcement of Cloudability or Flexera’s 2018 acquisition of Rightscale or VMware’s 2018 acquisition of CloudHealth Technologies. All of these acquisitions filled the needs of IT management providers to support multi-cloud management for enterprises and managed service providers seeking to manage large pools of cloud spend and resources. From Amalgam Insights’ perspective, these are still early days for cloud computing as a whole as cloud currently makes up roughly a third of enterprise data infrastructure spend. From a market perspective, AI believes that we are in a period where cloud infrastructure cost management vendors represent growth assets now that multi-cloud best practices are starting to emerge and cloud service providers are treated more along the lines of telecom carriers for services that provide utility pricing and capacity.

At a time when cloud computing is obviously the highest growth area for IT spend, with IaaS spend expected to double every three years for the rest of this decade, IT systems management firms see the complexity of cloud as a fundamental challenge to the ongoing management of cloud services.

This acquisition builds onto existing Spot by Netapp’s capabilities in supporting usage and resource tracking as well as NetApp’s recent acquisition of Data Mechanics to support big data analytics. Although initial press releases and interviews position CloudCheckr as an acquisition to help support Spot by NetApp, Amalgam Insights notes that these two technology solutions are different in nature.

Spot by NetApp excels in providing a software-driven capability for monitoring and optimizing storage and compute infrastructure. This optimization provides a lot of value and can often seen as a be-all and end-all for infrastructure cost management to identify the portfolio of on-demand, reserve, and spot instances used to support infrastructure.

However, experiencted IT expense managers have seen that IT cost management requires a holistic lifecycle approach that involves a combination of usage optimization, service order automation, resource governance, inventory management, multi-cloud sourcing, invoice and payment management, and effective alignment of services with business-driven demand. This level of analysis requires a view into the products, cost centers, projects, and comparative cloud usage patterns that may require changing services and providers or using alternative billing approaches such as setting up reserved instances or savings plans for ongoing operationalization.

At the same time, cost management in the cloud is also often related to managing access and governance associated with existing resources. A basic example of this issue is Amazon S3 bucket governance, which can both be a security issue as well as a potential cost issue based on what is placed within the bucket.

Recommendations for the Cloud, FinOps, and NetApp Communities

As we consider this acquisition, it is important for us to not simply recommend a purchase, but to provide a course of action that will help IT departments to optimize their cloud environments. Based on this acquisition, Amalgam Insights provides the following recommendations based on our experience in tracking cloud cost and Kubernetes cost management over the past four years.

  1. To manage cloud costs, resource optimization is just the starting point. To fully tackle the IT Rule of 30 and regain all of the misplaced IT costs created in less governed times, it is important to make sure that all orders are governed with business logic. The goal here is not to prevent developers from quickly building but to make sure that every service is accounted for, effectively governed, and disconnected in a timely and appropriate manner. From a practical perspective, this monitoring requires some level of centralization that allows all developers and architects to have a shared version of the truth and a consistent inventory that brings together all accounts and services used by IT.
  2. For CloudCheckr customers, this acquisition provides an opportunity to take advantage of the Spot by NetApp cost optimization capability, especially in selecting spot instances that can greatly reduce the cost of managing standard cloud workloads. This spot management capability requires a combination of process modeling and price monitoring that is typically outside the core skills of cloud architects or IT expense professionals that are looking at cloud costs.
  3. For Spot by NetApp customers, consider both the value of presenting cloud costs for accounting and finance audiences as well as the power of governing resources to drive additional cost savings and increase the maturity of treating cloud as a strategic business resource. These are capabilities that CloudCheckr provides for enterprise cloud environments. From a practical perspective, IT departments should check and see if they have already covered these important aspects of cloud management either with homegrown or other third-party solutions. Amalgam Insights recommends that organizations that have not filled these gaps should consider adopting CloudCheckr capabilities.
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August 20: From BI to AI (Adapdix, Apollo GraphQL, Cloudera, Databricks, Edge Intelligence, Monte Carlo, SnapLogic, TigerGraph)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Product Launches and Updates

Cloudera Introduces Cloudera DataFlow for the Public Cloud

On August 16, Cloudera launched Cloudera DataFlow for the Public Cloud to better manage customer data flows. When too many data flows are deployed into a single cluster, performance often falters, yet choosing larger infrastructure footprints “just in case” is expensive. Cloudera DataFlow was created to automate and manage complex cloud-native data flow operations, automatically scale up and down said streaming data flows more efficiently, and cut customers’ cloud costs. Cloudera DataFlow is generally available on AWS now.

Latest Release of the SnapLogic Platform: Self-service Integration and Automation

On August 17, SnapLogic announced its August 2021 product release, introducing no-code SnapLogic Flows for business users, ELT support to Databricks’ Delta Lake, and zero downtime upgrades, along with updating its API lifecycle and development portal. SnapLogic Flows will enable business users to construct data flows and apps to integrate into popular business software such as Salesforce without needing to know how to code, while allowing IT to provide guiderails and requirements to oversee said apps. New features in SnapLogic API lifecycle management include the abilities to maintain, improve, unpublish, deprecate, and retire APIs, ensuring that older versions aren’t used in error.

Funding

Apollo GraphQL Announces $130 Million Series D Investment to Power the Future of Graph and Application Development

On August 17, Apollo GraphQL announced a $130M Series D funding round. Insight Partners led the round, with participation from existing funders Andreessen Horowitz, Matrix Partners, and Trinity Ventures, and new investor Next47. The funding will be used on continuing R+D of open source graph technology to make app development faster and more accessible.

Monte Carlo Raises Series C, Brings Funding to $101M to Help Companies Trust Their Data

On August 17, Monte Carlo, a data reliability company, announced a $60M Series C funding round, led by ICONIQ Growth. Salesforce Ventures, along with existing investors Accel, GGV Capital, and Redpoint Ventures, all participated. Monte Carlo will use the funds to expand its product offerings, support more use cases, and open up to new markets.

Acquisitions

Adapdix acquires Edge Intelligence to bring data and AI closer together

Adapdix, an edge AI/ML platform, announced the acquisition of Edge Intelligence, a data management platform, on August 16. Edge Intelligence will improve Adapdix’ existing EdgeOps Data Mesh with better data management capabilities, and allow Adapdix to expand its existing offerings in edge automation.

Hiring

Fermín Serna Joins Databricks as Chief Security Officer

On August 19, Databricks announced that they had appointed Fermín Serna as the company’s new Chief Security Officer. Serna is coming over from Citrix, where he was the Chief Information Security Officer; before this, Serna was the Head of Product Security at Google. At Databricks, Serna will lead the network, platform and user security programs, as well as governance and compliance efforts.

TigerGraph Adds Industry Leader and Trailblazer to its Executive Team; Announces Fall Graph + AI Summits

On August 19, TigerGraph, a graph analytics platform, announced that they had hired Dr. Jay Yu as Vice President of Product Innovation, and as GM at the San Diego Innovation Center for TigerGraph. Dr. Yu comes to TigerGraph from 18 years at Intuit, where he led the Financial Knowledge Graph project and encouraged graph technology adoption in large commercial cases. TigerGraph also announced the Graph + AI Summit for this fall on two dates, October 5 in San Francisco and October 19th in New York. Both hybrid events will be livestreamed to virtual attendees, as well as including in-person attendance.

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July 30: From BI to AI (Algorithmia, Alteryx, Atos, AtScale, Blue Prism, DataRobot, Domino Data Lab, EZOPS, Google Cloud, IBM, Informatica, Kili Technologies, Kyndryl, PwC, SAP, SAS, Trifacta, Visual BI)

If you would like your announcement to be included in these data platform-focused roundups, please email lynne@amalgaminsights.com.

Funding

DataRobot Unveils Major Milestones, Including $300M Series G Funding Investment

On July 27, DataRobot announced a $300M Series G funding round. Repeat investors Altimeter Capital and Tiger Global led the round, along with participation from new investors Counterpoint Global (Morgan Stanley), Franklin Templeton, ServiceNow Ventures, and Sutter Hill Ventures. The funding will be used for further development of DataRobot’s Augmented Intelligence platform, as well as expanding its go-to-market team.

Kili Technology raises $25M Series A

Also on July 27, Kili Technology revealed that it had raised a $25M Series A funding round. Balderton Capital led the round. The company is looking to accelerate hiring with the funding.

SAS charts path to IPO-readiness

On July 29, SAS announced that it intended to be ready for an IPO by 2024. Key steps SAS will take over the next couple of years include refining its financial reporting structure, optimizing certain operational processes, and further developing its AI and analytics capabilities.

Acquisitions and Partnerships

Alteryx and PwC Expand Strategic Relationship Globally to Address Analytics Automation Demand

Blue Prism Partners with Alteryx to Drive Faster, More Reliable Data Analytics

Alteryx revealed news about two partnerships this week. On July 28, Alteryx announced a new partnership with Blue Prism, an intelligent automation company, along with a bi-directional integration between the two platforms. Blue Prism developers will be able to include Alteryx analytic processes within RPA-driven processes, while Alteryx analysts will be able to trigger Blue Prism digital workers from within their Alteryx workflows.

On July 29, Alteryx announced that it was expanding its relationship with PwC. The original partnership, announced in February 2020, focused on upskilling and digital transformation efforts in US companies; these efforts are now being expanded globally.

Atos acquires Visual BI to enhance its ability to address customers’ increasing need for analytics in the cloud

On July 29, Atos, a digital transformation company, announced that it was acquiring Visual BI, a cloud data analytics company. By acquiring Visual BI, Atos hopes to address its customers’ increasing need for cloud-based BI and analytics.

DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Architecture for the Enterprise

The same day it announced $300M in Series G Funding (see above), DataRobot also revealed that it was acquiring MLOps platform Algorithmia.

Domino Data Lab Announces New Partner Network

On July 29, Domino Data Lab debuted the Domino Partner Network, connecting technology and services partners across four categories: Tools & Data, Infrastructure, Solutions, and Implementation & Consulting. Inaugural members include Accenture, AWS, DataArt, Dell Technologies, MathWorks, NetApp, NVIDIA, and Snowflake, among others.

Google Cloud and SAP Partner to Accelerate Business Transformations in the Cloud

IBM and SAP to Help Financial Institutions Accelerate Cloud Adoption to Modernize Operations in a Secured Environment

SAP had two partner announcements this week as well. On July 28, SAP announced that it intends to expand the availability of SAP finance and data management solutions on IBM Cloud for Financial Services, which have built-in security and compliance controls to address financial regulations around risk and data. The goal is to accelerate adoption of IBM Cloud within the financial services industry.

On July 29, SAP and Google Cloud announced that they would be expanding their strategic partnership. Google Cloud will now be a strategic partner for RISE with SAP, SAP’s digital transformation offering. Similar to SAP’s IBM partnership, the goal is to accelerate cloud adoption and business process migration even further.

Product Enhancements

AtScale AI-Link Connects Business Intelligence and Enterprise AI with Semantic Layer to Scale Augmented Analytics and Data Science

On July 29, AtScale introduced AI-Link. AtScale allows BI teams to consume live cloud data with preferred apps; data scientists can now access the same data with Python via AI-Link to put into augmented analytics and machine learning models. AI-Link is available today as an add-on to AtScale.

EZOPS Supports Streamlined Data Control and Optimized Efficiency in Snowflake

On July 27, EZOPS announced that they are incorporating Snowflake support. Snowflake customers will be able to use EZOPS’ AI models to analyze data stream patterns for anomalies, and then escalate said anomalies within EZOPS Workflow for further triage and analysis.

Trifacta Delivers Head Start on Cloud Data Engineering With New Template Gallery

On July 27, Trifacta debuted pre-built cloud data engineering templates to further enable what they’re calling “self-service data management.” The templates will allow Trifacta users to tweak pre-configured data engineering workflows to suit their needs, then quickly deploy them. Some examples of the available templates include transforming data to a target schema using a mapping table, identifying sentiment keywords and calculating NPS, and importing data from Google Cloud Storage to BigQuery.

Hiring

Kyndryl Names David Wyshner As Chief Financial Officer

Kyndryl, the new separate company of IBM’s Managed Infrastructure Services, has appointed David Wyshner as the company’s CFO. Wyshner was most recently the CFO of XPO Logistics; prior to that, Wyshner led the separation of Wyndham Worldwide into three separate companies during his time as CFO there.

Informatica Appoints Elizabeth Rafael to Board of Directors

On July 26, Informatica announced that Betsy Rafael has joined the Informatica board of directors, as well as the chair of the audit committee. Most recently, Rafael was the Chief Transformation Officer at GoDaddy. Preceding her stint at GoDaddy, Rafael served as Vice President and Corporate Controller and Principal Accounting Executive at Apple, and Vice President, Corporate Finance at Cisco.