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Customer Journey Observability: From Impact to Root Cause

See how companies are using customer journey graphs in Observe by Snowflake to start incident investigation at business impact and reach root cause faster.

AI in M&A: Accelerating Due Diligence and Integration

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.

From Data to Dialogue: How S&P Global Energy Made Its Structured Data Estate Conversational with Databricks Genie Agents and MCP

S&P Global's goal was to fundamentally improve how customers discover and consume...

Fivetran vs Airbyte: Features, Pricing & Key Differences

Compare Fivetran vs Airbyte pricing and key features. Learn how to choose the right data integration platform for you.

Data Governance for Modern Data Platforms

When enterprise analytics lived inside a single data warehouse, governance felt straightforward because it was …

Introducing ThoughtSpot Spreadsheets on Live Data

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 a dbt project is worth to an agent | Blog | Fivetran

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 on Snowflake Cortex AI

Kimi K3 is in private preview on Snowflake Cortex AI. Explore Moonshot AI's open-weight model for coding, research, and enterprise applications.

Running open-Jev in SQL on Databricks

Over the weekend, “System One” decision models such as Jev have launched, which are...

Deploy and manage coding agents at scale with the Unity Gateway CLI

In the last six months, GPT-6, Claude Opus 5.5, Gemini 3.8, and Grok 4.7 all shipped,...

Context engineering is already possible in your warehouse. Here's how to get started.

Analytics teams have always modeled data for BI. Context engineering models data for agents, starting with semantic search.

Starburst Enterprise Delivers Incremental Iceberg Materialized Views, Query Speed improvements and Enhanced AI Intelligence

Today, we are excited to announce the release of Starburst Enterprise 482-e LTS. This release …

How I built agent-based security reviews on Databricks

We already had automation in parts of our security review process. It was useful,...

4 Signs Your AI has a Context Problem, Not a Model Problem

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…

How Concurrence governs clinical AI at a trillion-token scale with Unity Gateway

Healthcare AI has little margin for error. AI agents helping coordinate patient care...

Claude Opus 5.5 on Snowflake Cortex AI

Claude Opus 5.5 is in public preview on Snowflake Cortex AI, bringing improvements in coding, financial analysis, and visual understanding.

AI Agent Observability coming to Observe by Snowflake

Observe by Snowflake's Agent Observability (coming soon) helps teams monitor, debug and evaluate AI agents — tracking quality, cost and performance.

What Are The Most Common AI Use Cases for Banking?

Ask a chief data officer at a large US bank how many production AI systems …

Teradata Transforms Tera into an Agentic Coworker; Introduces Tera Context Engine and Tera Harness

Designed specifically for enterprise data work, Tera brings governed business knowledge and intelligent execution to every data role, at lower cost and greater speed

From Dashboards to AI Agents: Huel’s Analytics Journey

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 Engineering for Redshift

Context matters. Two AI agents can query the same Redshift table and return different revenue …

Spotter Memory Is Live: Your AI Analyst Stopped Forgetting

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…

Announcing Server-Side Scan Planning with Starburst and Databricks

We are excited to announce that the Starburst Enterprise 481-e STS now includes support for …

ThoughtSpot + ClickHouse Delivers Agentic Analytics at Scale

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…

Announcing Fivetran Context Layer | Blog | Fivetran

Jumpstart the development of your context layer, and enable agents to reason across your entire business and provide trustworthy outputs.

Fivetran + dbt Labs Announces New Capabilities to Make Enterprise Data Agent-Ready at dbt Summit 2026

dbt v2, dbt State are GA and Fivetran + dbt Labs debuts Fivetran Context Layer, dbt Charts and a new open lakehouse vision

Everything we announced at dbt Summit and why it matters

Every product announced at dbt Summit, from dbt v2 and dbt State to dbt Wizard and dbt Charts, and why each one matters.

We built dbt State to stop rebuilding what hadn't changed

dbt State is now generally available everywhere you run dbt. See how it cuts compute costs and speeds up development.

Celebrating the 2026 dbt partner of the year winners

Meet the 2026 dbt Labs Partner of the Year winners: phData, Snowflake, Cívica, Datum Studio, and 66degrees.

Third-Party Risk Assessments | How Confluent Helps You Move Faster with Confidence

Confluent's Trust Center simplifies vendor risk reviews with CyberGRX, CyberVadis, SIG, CAIQ, and TruSight/KY3P assessments.

Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group

New industry initiative establishes an open category for data architectures that power real-time applications and AI agents

KCP: How to Migrate to Confluent Cloud in Days, Not Weeks

Use KCP to automate Kafka migration with infrastructure generation, ACL and schema mapping, and offset-preserving data replication.

Building an Agentic SOC on a Stream

Discover how our security team built an automated multi-agent investigation pipeline that scaled alert triage throughput using a continuous streaming architecture.

Fivetran product updates | Blog | Fivetran

Keep track of new connectors and product releases

Beyond centralization: Why APAC retail and CPG teams need dbt | Blog | Fivetran

Learn how dbt helps APAC retail and CPG teams test, govern, and trace their data before it drives critical inventory, promotion, and reordering decisions.

Teradata Brings Enterprise AI Directly to Microsoft OneLake

Customers can now run Teradata enterprise AI on OneLake data where it lives, without replicating or moving it

Hemut: Building the Internet of Freight on Real-Time Data

Hemut uses Confluent, real-time data streaming, and AI to automate trucking operations, improve fleet efficiency, and build the Internet of Freight.

Teradata to Present at Upcoming Investor Conferences

Teradata Reports Second Quarter 2026 Financial Results

Teradata Brings Enterprise-Grade Data Analyst Agent to AWS Marketplace

Organizations can now purchase advanced conversational analytics solutions directly within Amazon Web Services (AWS), drawing on existing data without costly movement or integration complexity