Bridging the Data Gap: How CData Unlocks the Full Value of Databricks

I caught up with Rahul Pahuja from CData Software to dive into how they’re helping enterprises unlock more value from their data inside Databricks — especially as companies push harder into AI and agentic workloads.

Here’s what stood out from our conversation:

🔹 Enhancing the Lakehouse for AI

While Databricks positions itself as the Lakehouse for AI, Rahul shared how CData extends its reach by connecting Databricks to hundreds of live data sources — no heavy pipelines, no data duplication. That’s a game-changer for teams needing immediate access to siloed enterprise data.

🔹 Activating the 70% of underutilized data

With a large chunk of enterprise data still going unused for analytics, CData is stepping in to make that data accessible and actionable — all within the Databricks environment. It’s not just about integration, but about activation.

🔹 Accelerating agentic workloads

We also discussed the rise of agent-based systems. Rahul explained how CData helps feed real-time, dynamic data into these AI agents, allowing them to act and respond faster — and with better context — inside Databricks.

🔹 Real-world traction

From major enterprises slashing integration timelines to faster AI-driven outcomes, Rahul shared success stories that really bring their value to life. The numbers were compelling.

If Databricks is your AI foundation, CData could be the unlock to power it with all your enterprise data — fast.

Appreciate the insights, Rahul — and hats off to the CData team!

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