New
How are you handling semantic layers and metric definitions across BI tools?
dbt semantic layer, a headless BI layer, or definitions living in each dashboard tool? What has reduced the “two numbers for revenue” problem for you?
Topic hub
Data & Analytics
Evaluating Data & Analytics this quarter? This page brings together what changed, which companies are most active, what practitioners are asking and how to build a shortlist.
Warehouses, lakehouses, streaming and BI tools that turn operational data into decisions, increasingly with AI analysts and real-time pipelines.
What changed recently
Start with the news. These are the Data & Analytics stories getting the most attention right now, so you know what has shifted before you talk to anyone.
Data & Analytics
GPT-6 Sol and Luna on Snowflake Cortex AI
GPT-6 Sol and Luna are now in public preview through Cortex AI Functions and Cortex Inference, and coming soon to Snowflake CoCo, Snowflake CoWork, and Cortex Agents.
Data & Analytics
Announcing Workday Data Connect federation in Unity Catalog
We're excited to announce the publicly available Beta of the Workday Data Connect federation connector for Unity Catalog...
Data & Analytics
The Plane, Not the Fleet
Imagine you are an engineer on call, looking at a failed CI run at 2am …
Data & Analytics
In Capital Markets, the Buy Side Runs on NAV. Finance Protects the Fee.
Ask a capital markets CFO on the buy side how the quarter looks, and the answer starts...
Data & AnalyticsHow-to
How to build governed enterprise apps on Databricks with Replit and Lakebase
The combination of Replit & Databricks gives enterprises a complete development-to-deployment platform...
Data & Analytics
Writing to Unity Catalog-Managed Tables with Starburst
Databricks’ Unity Catalog-managed tables allow the catalog to fully own Delta Lake transaction state using …
Data & Analytics
I Benchmarked Databricks Against My iPhone | Blog | FIvetran
The device in your pocket easily runs most practical analytics workloads.
Data & Analytics
Set Budgets and Alerts for Cloud Data Warehouse Costs
Every analytics team has been here: a month-end invoice arrives, and a single SQL...
Companies to know in Data & Analytics
Those stories keep returning to the same names. These are the companies we track in this category; each profile has its news, solutions and published reviews.
Snowflake
Bozeman, Montana, USA
Snowflake is a US cloud data platform company founded in 2012, with its principal executive office in Bozeman, Montana. Its AI Data Cloud runs on AWS, Microsoft Azure and Google Cloud and provides data warehousing, data lake and Apache Iceberg support, data sharing, Snowpark, Cortex AI and Snowflake Postgres. Snowflake is listed on the New York Stock Exchange.
Databricks
San Francisco, California, USA
Databricks is a data and AI company founded in 2013 by the creators of Apache Spark and headquartered in San Francisco. Its Data Intelligence Platform, built on a lakehouse architecture, combines data engineering, SQL warehousing, governance through Unity Catalog, and machine learning and generative AI tooling through Mosaic AI. Databricks created open-source projects including Delta Lake and MLflow and is privately held.
Google Cloud
Mountain View, California, USA
Google Cloud is the cloud computing business of Google, a subsidiary of Alphabet Inc. It offers Google Cloud Platform infrastructure and services including Compute Engine, Google Kubernetes Engine, BigQuery, Spanner and the Vertex AI platform with Gemini models, as well as Google Workspace. It serves enterprises, public sector organisations and startups through global cloud regions.
Microsoft
Redmond, Washington, USA
Microsoft is a global technology company whose enterprise portfolio spans the Azure cloud platform, Microsoft 365 productivity software, Dynamics 365 business applications, security products and developer tools such as GitHub. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is one of the largest providers of cloud and AI services to businesses.
Amazon Web Services
Seattle, Washington, USA
Amazon Web Services (AWS) is the cloud computing subsidiary of Amazon, headquartered in Seattle and launching its core services in 2006. It offers on-demand infrastructure and platform services including EC2 compute, S3 storage, databases such as Aurora and DynamoDB, EKS containers, IoT, analytics, Amazon Bedrock and SageMaker for AI, and Trainium and Graviton custom chips.
Salesforce
San Francisco, California, USA
Salesforce is a US enterprise software company headquartered in San Francisco, California, founded in 1999. It sells customer relationship management (CRM) applications including Sales Cloud, Service Cloud and Marketing Cloud, the Agentforce AI agent platform, Data Cloud, Tableau analytics, MuleSoft integration, Slack and Informatica data management. Salesforce is listed on the New York Stock Exchange.
Qlik
King of Prussia, Pennsylvania, USA
Qlik is a data integration, analytics and AI company founded in Lund, Sweden, in 1993 and headquartered in King of Prussia, Pennsylvania. Its products include Qlik Sense and QlikView for business intelligence, Qlik Talend Cloud for data integration and quality, and Qlik Answers for generative AI. Qlik has been privately owned by Thoma Bravo since 2016.
Oracle
Austin, Texas, USA
Oracle is an enterprise software and cloud company known for Oracle Database, Oracle Cloud Infrastructure (OCI), Oracle Fusion Cloud Applications, NetSuite, MySQL and Java. It serves enterprises and governments with databases, ERP, HCM and industry applications, and cloud infrastructure for AI training and inference. Founded in 1977 by Larry Ellison, Bob Miner and Ed Oates, Oracle is listed on the NYSE and headquartered in Austin, Texas.
SAP
Walldorf, Baden-Württemberg, Germany
SAP is a German enterprise software company, SAP SE, headquartered in Walldorf, Germany, and founded in 1972. It sells enterprise resource planning software, notably SAP S/4HANA Cloud, along with the SAP HANA database, SAP Business Technology Platform, SAP Business Data Cloud, the Joule AI copilot and agents, SuccessFactors, Ariba, Concur and Signavio. SAP is listed in Frankfurt and on the NYSE.
Teradata
San Diego, California, USA
Teradata is a US data analytics and data platform company founded in 1979 and headquartered in San Diego, California. Its flagship Teradata VantageCloud platform provides a scalable analytical database and data management for large enterprises, deployable on major public clouds or on-premises, with ClearScape Analytics for in-database analytics and AI. Teradata is listed on the New York Stock Exchange.
Cloudera
Santa Clara, California, USA
Cloudera is a US data platform company founded in 2008 and headquartered in Santa Clara, California. Its Cloudera Data Platform provides hybrid data management, data engineering, data warehousing, streaming and machine learning on an open data lakehouse built on Apache Iceberg, across public clouds and on-premises. It merged with Hortonworks in 2019 and was taken private by KKR and CD&R in 2021.
Informatica
Redwood City, California, USA
Informatica is a US enterprise data management company whose Intelligent Data Management Cloud (IDMC) covers data integration, data quality, master data management, data catalog and governance, powered by its CLAIRE AI engine. It serves large enterprises across industries. Founded in 1993 and headquartered in Redwood City, California, Informatica was acquired by Salesforce in 2025.
Fivetran
Oakland, California, USA
Fivetran is a US data integration company that provides fully managed, automated ELT pipelines. Its platform offers hundreds of prebuilt connectors that replicate data from SaaS applications, databases and files into cloud data warehouses and lakes such as Snowflake, Databricks and BigQuery. Founded in 2012, Fivetran completed its merger with dbt Labs on 1 June 2026; the combined company operates as Fivetran + dbt Labs.
dbt Labs
Philadelphia, Pennsylvania, USA
dbt Labs is the company behind dbt, a widely used tool for transforming data inside cloud data warehouses using SQL and software engineering practices such as version control and testing. Founded in 2016 as Fishtown Analytics by Tristan Handy, it offers open-source dbt Core and the commercial dbt platform. dbt Labs completed its merger with Fivetran on 1 June 2026, and the combined company operates as Fivetran + dbt Labs.
Confluent
Mountain View, California, USA
Confluent is a data streaming company founded in 2014 by Jay Kreps, Neha Narkhede and Jun Rao, the original creators of Apache Kafka. Headquartered in Mountain View, California, it offers Confluent Cloud, a fully managed service for Kafka and Apache Flink, and the self-managed Confluent Platform. IBM completed its acquisition of Confluent in March 2026, and Confluent was delisted from Nasdaq.
Alteryx
Irvine, California, USA
Alteryx is a US analytics software company founded in 1997 and headquartered in Irvine, California. Its Alteryx One platform, including Alteryx Designer and cloud-based analytics, lets business analysts prepare, blend and analyse data and build automated workflows with low-code tools. Alteryx was taken private by Clearlake Capital and Insight Partners in 2024.
ThoughtSpot
Mountain View, California, USA
ThoughtSpot is a US business intelligence and analytics software company founded in 2012 and headquartered in Mountain View, California. Its AI-powered analytics platform lets business users query data in natural language and explore live data in cloud data platforms such as Snowflake, Databricks and Google BigQuery. Products include Spotter, an AI analyst agent, and ThoughtSpot Embedded for developers.
Domo
American Fork, Utah, USA
Domo is an American cloud business intelligence and data platform company founded in 2010 by Josh James and headquartered in American Fork, Utah. Its platform combines data integration connectors, data transformation, dashboards and visualisation, app building, embedded analytics and AI features, letting business users build and share insights from many data sources. In September 2026 Progress Software completed its acquisition of Domo's AI and data platform business.
Starburst
Boston, Massachusetts, USA
Starburst is a US data analytics company founded in 2017 and headquartered in Boston, Massachusetts. It sells a data lakehouse and query platform built on Trino, the open source distributed SQL engine created by Starburst's co-founders. Its products are Starburst Enterprise for self-managed deployments and Starburst Galaxy, a managed cloud service, which query data across lakes and databases without moving it.
SAS
Cary, North Carolina, USA
SAS, formally SAS Institute Inc., is a US analytics and AI software company headquartered in Cary, North Carolina, founded in 1976. Its flagship SAS Viya cloud-native platform provides data management, statistical analysis, machine learning, decisioning, model governance and generative AI tools. SAS serves banking, government, life sciences, insurance and other regulated industries, and is privately held.
What practitioners are asking
Vendor news only tells you half of it. This is what people working in Data & Analytics are discussing and asking each other.
New
Is the lakehouse finally the default, or still a migration project?
Share where you are: fully on a lakehouse, hybrid with a warehouse, or not convinced yet, and what drove the decision.
Build a shortlist
With the news, the companies and the open questions in view, pick three to five companies whose products match your problem, read their recent stories and put your remaining questions to the community before you speak to sales.
More Data & Analytics stories
If you want more background, here is more of the recent coverage.
Data & Analytics
Snowflake Completes NZISM Restricted Assessment on AWS in New Zealand
Snowflake has completed an independent NZISM Restricted assessment on AWS in the Auckland region, helping New Zealand government agencies accelerate certification, unify data and deploy AI with confidence.
Data & Analytics
How Fivetran, dbt, and Databricks Lakeflow work together | Blog | Fivetran
Combine off-the-shelf data integration and transformation with Lakeflow’s streaming data replication, orchestration, and platform-native integrations.
Data & Analytics
Now GA: Building permission-aware Databricks Apps with on-behalf-of-user authorization
Databricks Apps lets developers build and deploy data and AI applications directly on the Databricks platform...
Data & Analytics
Data Products: Context Engineering for AI
AI agents are experiencing a context crisis. AI context is the talk of the industry …
Data & Analytics
Teradata Highlights New Enterprise AI Customer Engagements Across Healthcare & Life Sciences
Enterprise AI customer engagements show how healthcare and life sciences organizations are activating intelligence from their data and institutional knowledge at scale
Data & AnalyticsHow-to
How to Repoint dbt ETL Pipelines to Databricks
More teams are running their dbt transformations on Databricks Lakehouse: an open...
Data & Analytics
The lakehouse is a better data warehouse: 2026 benchmarks and proof
The warehouse was the right answer for 20 yearsThe data warehouse earned its place. For two decades...
Data & Analytics
Scaling and Operating a Large dbt Project on Databricks: IFCO's Data Team on Performance, Visibility, and Debugging
AbstractIFCO runs one of the world's largest reusable packaging pools with hundreds of millions of crates and pallets...
Data & Analytics
Meta’s ads MCP server comes to Databricks: Put your customer intelligence to work in advertising campaigns
Here’s a familiar scenario for enterprise advertisers: the data team has done real...
Data & Analytics
What Is Agentic Data Infrastructure?
Enterprises are moving past AI copilots that answer questions and into AI agents that take …
Data & Analytics
NEAREST BY Join: Scaling Vector Search in Databricks Runtime
Vector search originated as a serving problem. The classical use case is a chatbot...
Data & Analytics
With dbt State, stop rebuilding what didn't change
Learn how dbt State lets you reuse what hasn’t changed and cut data spend.
Data & Analytics
Unlocking Data Portability: Preventing Catalog Lock-in with REGISTER and UNREGISTER APIs
As organizations embrace the lakehouse architecture, data is shifting from proprietary...
Data & Analytics
How Genie Ontology powers product development at Databricks
General-purpose AI agents are good at searching the web, reasoning, and writing code....
Data & Analytics
AI Gateway for Advertising: Governed AI Agents | Snowflake
AI Gateway for Advertising (preview) brings governed MCP integrations for Meta and TikTok to Cortex Agents, combining enterprise data with live platform signals.
Data & Analytics
Engineering the Data Foundation for Production AI and Analytics
The conversation around enterprise AI has fundamentally changed. We have moved past the phase of …