In the financial world, data may be abundant, but usable data—the kind analysts can actually trust—is another matter entirely. That’s where Rimes has staked its reputation. And now, it’s plugging that data expertise directly into Databricks, one of the fastest-rising players in enterprise AI.

Rimes has partnered with Databricks to make its Managed Data Services available natively on the Databricks Data Intelligence Platform, using Delta Sharing, the open-source protocol designed for secure data exchange. For investment teams that have been juggling data pipelines, governance obstacles, and latency headaches, this move could be a meaningful shift.

Cutting Out Replication, Latency, and Complexity

Traditionally, investment firms have had to replicate or manually pipe their structured datasets into analytics platforms—a costly endeavor that introduces delay and governance risk. By delivering Rimes’ curated datasets via Delta Sharing, clients can now connect directly to governed data without replication, eliminating a major bottleneck.

The benefits feel tailor-made for today’s AI-driven investment workflows:

• Faster time-to-insight with low-latency access

• A single governed source of truth

• AI-ready data powering modeling, automation, and workflow optimization

• Direct integration into Databricks notebooks, dashboards, and AI agents (including Agent Bricks)

In other words: the plumbing just got a lot smarter.

“Rimes has built a reputation for delivering the highest quality managed data and data governance capabilities,” said Vijay Mayadas, CEO of Rimes. “Through our partnership with Databricks, we’re enabling clients to accelerate their time to insight and unlock the full potential of their investment data.”

Databricks: AI Runs on Good Data

Databricks, fresh off its own acceleration in the enterprise AI race, sees the partnership as essential infrastructure for financial institutions hoping to build scalable AI applications.

“Enterprises are looking for ways to scale high-quality, trusted AI apps and agents on their own data,” said Dael Williamson, Field CTO, EMEA at Databricks. “By making Rimes’ Managed Data Services available via Delta Sharing, financial institutions can now access clean, curated, and timely investment data directly within their Databricks workspaces.”

Databricks’ pitch to Wall Street is clear: AI isn’t magic—it’s data quality, governance, and explainability. With Rimes feeding its platform, the data layer just got significantly more robust.

A Bigger Strategy Is Taking Shape

The partnership also marks an early milestone in Rimes’ post-Five Arrows investment expansion. As part of its long-term strategy, Rimes plans to add more datasets, broaden availability, and introduce AI-driven use cases built on top of its unified data layer.

The vision:
A seamless, interoperable data foundation that can power analytics, automation, compliance, and next-generation intelligent workflows across the financial ecosystem.

If the industry trend holds, investment firms are increasingly turning away from fragmented data estates and toward unified, governed platforms that can feed AI systems responsibly. With Databricks gaining momentum as the go-to open AI stack, Rimes’ deep domain expertise lands at exactly the right moment.

The Bottom Line

Rimes and Databricks aren’t just aligning technologies—they’re aligning philosophies: open, governed, trustworthy data as the backbone of financial innovation.

For financial institutions wrestling with AI adoption, messy data estates, and governance challenges, this partnership offers a cleaner, faster path forward. The combination of Rimes’ investment data pedigree and Databricks’ AI capabilities could reshape how firms build intelligence into their workflows.

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