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

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Exegy Unveils Nexus Market Data Platform to Tackle Latency, Scale and Cost Trade-Offs

Exegy has launched Nexus, a new market data platform designed to streamline infrastructure for high-volume, low-latency trading environments. The FPGA-based system replaces traditional, server-heavy feed handlers with a combination of managed appliances and network interface cards that deliver microsecond-level performance and reduce datacentre footprint by over 40%. “Across the buy side and sell side, market...

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

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...