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

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

The Matching Engine Was Never the Hard Part: What 24/7 Really Demands of Exchange Architecture

The framing has become familiar. Digital asset exchanges, prediction markets and retail-driven platforms have normalised continuous trading. Traditional venues, with their nightly batch cycles and weekly maintenance windows, are now playing catch-up as they extend hours, tokenise assets and reach for new distribution models. The conventional answer is to point at the matching engine and...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2018/2019 – Sixth Edition

In a testament to the enduring popularity of the A-Team Regulatory Data Handbook, we are delighted to publish a sixth edition for 2018-19 of our comprehensive guide to all the regulations and rules that might impact data and data management at your institution. As in previous editions of the Regulatory Data Handbook, we have updated...