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.
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.
See how companies are using customer journey graphs in Observe by Snowflake to start incident investigation at business impact and reach root cause faster.
Learn how Accenture and Snowflake use AI and a unified data platform to accelerate M&A due diligence, de-risk integration and drive deal value.
S&P Global's goal was to fundamentally improve how customers discover and consume...
Compare Fivetran vs Airbyte pricing and key features. Learn how to choose the right data integration platform for you.
When enterprise analytics lived inside a single data warehouse, governance felt straightforward because it was …
View, Work, and Save Your Live, Governed Data, Without Ever Exporting It Every analyst has a version of this “Monday blues.” A leader pings asking for the quarterly forecast, wants it broken out by region, and needs it for a call in thirty minutes. The fastest way to do this? Pull the data out of your tool, paste it into Excel, and build the report there. Thirty minutes later, you've got the…
What happens when AI agents query the same dbt project? One experiment reveals how the Semantic Layer impacts accuracy, cost and conversational analytics.
Kimi K3 is in private preview on Snowflake Cortex AI. Explore Moonshot AI's open-weight model for coding, research, and enterprise applications.
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 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 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 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 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 (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 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 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 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 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 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 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 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 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 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 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 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 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 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 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, 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.
Vendor news only tells you half of it. This is what people working in Data & Analytics are discussing and asking each other.
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?
Share where you are: fully on a lakehouse, hybrid with a warehouse, or not convinced yet, and what drove the decision.
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.
If you want more background, here is more of the recent coverage.
Over the weekend, “System One” decision models such as Jev have launched, which are...
In the last six months, GPT-6, Claude Opus 5.5, Gemini 3.8, and Grok 4.7 all shipped,...
Analytics teams have always modeled data for BI. Context engineering models data for agents, starting with semantic search.
Today, we are excited to announce the release of Starburst Enterprise 482-e LTS. This release …
We already had automation in parts of our security review process. It was useful,...
Most AI agents can write SQL. The problem is they write it against the wrong definition of revenue, for the wrong team, using the wrong business rules, and you won't catch that in a demo. Before you evaluate a single semantic layer vendor, there are four things worth getting right first. The semantic layer market has never been more crowded. Every major analytics vendor, data platform, and BI…
Healthcare AI has little margin for error. AI agents helping coordinate patient care...
Claude Opus 5.5 is in public preview on Snowflake Cortex AI, bringing improvements in coding, financial analysis, and visual understanding.
Observe by Snowflake's Agent Observability (coming soon) helps teams monitor, debug and evaluate AI agents — tracking quality, cost and performance.
Ask a chief data officer at a large US bank how many production AI systems …
Designed specifically for enterprise data work, Tera brings governed business knowledge and intelligent execution to every data role, at lower cost and greater speed
You’ve rolled out a modern data stack, built self-service dashboards, and empowered your team to ask their own questions. Job done, right? Not quite. The data landscape is shifting rapidly beneath our feet, which makes it critical to understand how to build your AI for BI platform so you can scale and navigate technology evolutions. I had the pleasure of sitting down with Jane Smith,…
Context matters. Two AI agents can query the same Redshift table and return different revenue …
Spotter Memory is now generally available. 📌 Key takeaways 1. Spotter Memory is generally available in ThoughtSpot. Spotter keeps the business definitions and query paths it learns instead of starting every session cold. 2. Memory comes in two forms: rules, which define what a metric means in your business, and recipes, which capture how a recurring question gets answered. 3. Spotter learns…
We are excited to announce that the Starburst Enterprise 481-e STS now includes support for …
ThoughtSpot’s Native Connector Brings Governed Agentic Insights to Every ClickHouse Customer Agentic analytics, embedded customer-facing reporting, and everyday business metrics now demand the same thing: performance at massive scale, and answers fast enough that a business user never notices the wait. Most generic databases were never designed for that combination. They assume a small population…
