Data + AI Summit 2025: What’s Next For Sigma And Databricks

At this year’s Databricks Data + AI Summit, Sigma was named the 2025 Databricks Business Intelligence Partner of the Year—a milestone that validates what we’ve believed (and built) from the start: the future of BI lives in data apps, AI workflows, and live collaboration on governed data.

Sigma was named the 2025 Databricks Business Intelligence Partner of the Year!

Together with Databricks, we’re making that future real. From Input Tables to Python to governed metrics and AI-native experiences, we’re giving teams the tools to build faster, explore deeper, and act with confidence—without code, delays, or throwaway dashboards.

Here’s what was announced at the Summit—and why it matters for every team building on Databricks.

Databricks’ big wins for 2025

SAP Integration: Unifying enterprise data

Databricks announced a direct integration with SAP systems, making it easier to bring enterprise data into the Databricks Data Intelligence Platform. This eliminates silos and gives teams access to SAP datasets for analytics and AI—without waiting on batch jobs or dealing with exports.

Sigma connects directly to SAP data in Databricks, enabling teams to build real-time dashboards and reports using our spreadsheet-like interface. And with live querying, SAP data can be analyzed alongside other sources—creating unified views across finance, sales, supply chain, and more. It’s a faster, more flexible way to put SAP data to work without extra ETL or one-off workflows.

Mosaic AI: Enterprise AI, built for real use

Mosaic AI is Databricks’ new platform for building and managing enterprise-grade AI agents. It spans the full agent lifecycle and runs on Unity Catalog, so everything is governed, traceable, and secure from the start.

No code, no switching tools—just answers you can explore, refine, and validate.

Sigma integrates directly with Mosaic outputs, letting teams pull predictions, RAG-based answers, or ML inferences into live workbooks. No code, no switching tools—just answers you can explore, refine, and validate. Users can even chat with Mosaic in natural language, then dive deeper into the results with Sigma. It’s a hybrid workflow that puts AI within reach.

Databricks SQL: More power, less overhead

Databricks SQL keeps evolving as the lakehouse engine, with serverless performance, full SQL support, and built-in governance. New features like SQL scripting, stored procedures, and recursive CTEs bring the kind of programmability traditionally found in data warehouses directly into the lakehouse.

Sigma lets teams turn that logic into usable outputs. You can build workflows directly in Databricks SQL, then surface results in Sigma’s no-code interface. Think supply chain models or revenue forecasts—smart, dynamic tools business users can actually use, all built on governed data.

How Sigma supercharges your work on Databricks

Sigma’s latest Databricks integrations are designed to help your team work smarter, delivering powerful tools for data practitioners and consumers of data alike. Here are four innovations we’re bringing to Data + AI Summit 2025 each with insights on their impact:

Python for Sigma: Code, meet collaboration

With Python for Sigma on Databricks, technical and non-technical users can finally work together—without switching tools. Data teams can run Python scripts directly in Sigma, backed by Databricks compute.

For business users, Python-powered outputs appear like any other dataset in Sigma, so they can filter, explore, and build on the results without ever touching a line of code.

For data practitioners, this means you can build advanced logic, custom data transformations, statistical models, and even machine learning workflows all without ever leaving Sigma. For business users, Python-powered outputs appear like any other dataset in Sigma, so they can filter, explore, and build on the results without ever touching a line of code.

Ask Sigma: Conversational analytics with full transparency

Imagine asking your data a question and getting an instant, trustworthy answer. With Ask Sigma powered by Databricks' foundational models, that’s now a reality. This new natural language feature lets anyone interact with data conversationally. But unlike typical AI assistants, it doesn’t stop at the surface.

Imagine asking your data a question and getting an instant, trustworthy answer. With Ask Sigma powered by Databricks' foundational models, that’s now a reality.

Every response in Ask Sigma comes with full transparency. You see exactly how the answer was generated—data source, transformations, calculations, and final output—all laid out so you can trust it, challenge it, or build on it.  Business users can go beyond their initial question to uncover new insights, while data teams save time fielding repetitive requests.

Unity Catalog Metrics: One source of truth, everywhere you need it

Reporting environments are typically fragmented. Different teams often calculate the same metric like ARR, retention, or gross margin in different ways, leading to conflicting dashboards and decision paralysis. Unity Catalog Metrics solves this by allowing data teams to define metrics once centrally, securely and in a version-controlled environment. 

With Sigma’s native support, these metrics are now discoverable, queryable, and reusable. By bringing certified, governed business metrics directly into Sigma’s interactive interface, this integration transforms how organizations manage, scale, and trust their analytics. Teams can explore consistent, reliable insights—without recreating definitions or second-guessing the data.

Lakebase Integration: Real-time data, ready to go

Databricks’ new Lakebase offering brings transactional workloads into the lakehouse by embedding a fully managed PostgreSQL engine directly into the Data Intelligence Platform. It gives teams the low-latency performance of an OLTP database, with the governance and discoverability of Unity Catalog. 

The Lakebase integration is a seamless way to bring together operational speed and governed insight.

Sigma connects directly to Lakebase, so you can query real-time transactional data alongside the analytical datasets already in Databricks. That means you can build dashboards that reflect what’s happening right now—order status updates, inventory shifts, system health—and explore that data using Sigma’s intuitive interface. It’s a seamless way to bring together operational speed and governed insight.

Shaping the future of analytics and AI

Databricks is setting a new standard for what’s possible with data and AI—and Sigma is proud to build alongside them. Our latest integrations help every user move faster, go deeper, and make decisions they can trust.

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