About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Informatica Broadens Databricks Partnership with GenAI Tools

Subscribe to our newsletter

Informatica has deepened its association with Databricks, providing four new products and service integrations that it says will enable customers to implement generative artificial intelligence (GenAI) applications at scale.

The basket of new offerings brings together Informatica’s range of AI-powered Intelligent Data Management Cloud (IDMC) capabilities within Databricks’ Data Intelligence Platform, the California-based enterprise cloud data management provider said.

Topping the list is Informatica’s GenAI solution blueprint for Databricks’ DBRX large language model (LLM), which permits the construction of Retrieval Augmented Generation (RAG)-based GenAI applications.

Informatica said users of the blueprint would benefit from its incorporation of the low-code/no-code IDMC interface and Databricks Vector Database, allowing access to trusted and actionable data insights at scale. The blueprint provides for effective selection and application of enterprise data to ensure trusted responses from GenAI applications and enable their rapid scaling, Informatica said.

The company also announced a native SQL ELT for Databricks’ SQL data warehouse, enabling scalable data transformations and integrations. Customers of Databricks Partner Connect will also have access to Informatica’s Cloud Data Integration-free Service (CDI-Free), providing ELT processing of as many as 20 million rows of data or 10 ELT compute hours per month at no extra cost. The fourth announcement was for full IDMC support for governance processes through Databricks’ Unity Catalog.

Databricks senior vice president Adam Conway said the extended partnership with Informatica would be crucial to the successful implementation of clients’ AI ambitions.

“In the era of GenAI, access to trusted, high-quality data is becoming more essential than ever, especially for RAG implementations,” Conway said. ****“The addition of Informatica’s low-code/no-code CDI-free solution to Databricks Partner Connect, plus the integration of IDMC with Unity Catalog and new analytical data metadata exploration capabilities for RAG-based GenAI, accelerates access to high-quality data for customers building AI solutions and applications on the Databricks Data Intelligence Platform.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Reviewing the Latency Landscape and the Next Generation of Ultra-Low Latency Infrastructure

Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening across sell-side desks, electronic market makers, and an expanding range of buy-side participants. The technology landscape...

BLOG

OneChronos Brings Combinatorial Matching to European Equities

Periodic auctions came to Europe as an answer to the speed race. They are now routine. Several operators run them, and randomised auction lengths and speed-neutral matching have become standard rather than special. A venue arriving today has to say what it does that the others do not. OneChronos, which began production trading on its...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...