Earlier this month, our team had the chance to attend the Databricks Data + AI Summit 2025 in San Francisco.
20,000+ people. A packed schedule. Non-stop energy.
But more than anything else – it was a clear signal.
Databricks isn’t just a lakehouse platform anymore.
It’s becoming the operating system for data-native, AI-driven businesses.
Here’s what stood out.
1. Lakebase: Postgres Meets the Lakehouse
Until now, if you wanted to build intelligent apps like chat assistants or recommendation engines on Databricks, you had to move your data into an external database. That added friction, complexity, and cost.
Lakebase changes the game.
It’s a fully managed, Postgres-compatible transactional database that runs inside the Databricks lakehouse.
No more ETL. No more third-party DBs.
You can build production-grade, data-native applications without leaving Databricks.
Why this matters:
→ Faster development
→ Reduced data movement
→ One platform for analytics + apps
2. Databricks Apps: Native Apps, Built In
With Databricks Apps, teams can now build, deploy, and share secure apps directly inside the Databricks environment.
This means faster time-to-value, especially for data-intensive orgs that want to operationalize models and apps without spinning up new infrastructure.
Why this matters:
→ No need to jump across platforms
→ Easy to deploy internally or to customers
→ Unlocks new app-based use cases inside the lakehouse
3. Agent Bricks: Enterprise-Ready AI Agents
Everyone’s talking about AI agents. But most aren’t production-ready. And many don’t understand your enterprise data.
Agent Bricks aims to fix that.
They allow teams to build grounded, retrieval-augmented AI agents that pull directly from their company’s data, not the open internet.
Why this matters:
→ Lower hallucination risk
→ Higher-quality, context-aware outputs
→ Enterprise-ready, scalable GenAI workflows
4. Free Edition: Learning Without Limits
Databricks also introduced a Free Edition – a forever-free environment to learn and experiment with lakehouse technology.
It’s clearly a long-term play to build community, empower early-career engineers, and onboard future customers at scale.
Why this matters:
→ Makes lakehouse tech more accessible
→ Great for training, upskilling, POCs
→ Builds loyalty and learning at zero cost
Beyond the Tech: Real Connections
Events like this aren’t just about the keynotes and product launches.
They’re about the people you meet.
We connected with partners, engineers, and data leaders from across the US, EMEA, and beyond. The global Databricks community is real and growing fast.
And if you ask us, Databricks Data + AI Summit 2025 made one thing very clear:
If your business is serious about building with data + AI, Databricks just became a central part of the conversation.
Finally, you can read about our Databricks partnership by following this link.
