Informatica Announces Enhanced Databricks and Unity Catalog-Validated Data Pipeline Integrations for Rapidly Onboarding and Preparing Data from 300+ Sources

Rhea-AI Summary

Informatica (INFA) enhances strategic partnerships with Databricks-validated Unity Catalog integrations. The no-code data ingestion and transformation pipelines run natively on Databricks, providing customers with a best-in-class solution for onboarding data from 300+ sources and preparing data for consumption with proven, repeatable transformation capabilities.

REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Informatica (NYSE: INFA), an enterprise cloud data management leader, has continued its momentum to enhance and elevate a growing network of strategic partnerships with the launch of new, enhanced Databricks-validated Unity Catalog integrations. Informatica’s no-code data ingestion and transformation pipelines run natively on Databricks for use with Databricks and Databricks Unity Catalog. The integration gives joint customers a best-in-class solution for onboarding data from 300+ data sources and rapidly preparing data for consumption with an extensive library of out-of-the-box, no-code, proven, repeatable data transformation capabilities.

“We are pleased to see our newly enhanced data pipelines for Databricks and Databricks Unity Catalog achieve Unity Catalog Certification,” said Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems and Technology at Informatica. “We have many customers already using our data pipelines for Databricks today and with the new automated personal staging enhancements and certification, customers have a stellar solution for integrating all of their critical data into Databricks and turning it into ready-to-use AI-powered data for their mission-critical analytics and AI workloads.”

Unity Catalog Validated IDMC Capabilities

Informatica now offers IDMC customers the following Databricks Unity Catalog-validated capabilities:

• Cloud Data Integration (CDI) Ingest – CDI is now validated with Unity Catalog, enabling customers to directly ingest data from more than 300 data source types into Databricks.
• Automated personal staging location (PSL) Management - CDI now automatically manages Databricks personal staging locations for customers, providing a dedicated storage location for temporary data pipeline data. Customer benefits of automated PSL management include data separation (keeping primary data separate from temporary data), higher performance, expanded data versioning capacity and cost savings.
• Cloud Data Integration Transformation - Unity Catalog is now fully supported for ingest transformations running natively in Databricks via Databricks SQL. Customers benefit from highly secure data integration and transformation data pipelines running natively in the Databricks cluster.
• Informatica CDI-Free - Unity Catalog is now fully supported by the no-cost edition of CDI, providing customers with no-cost ingestion from 40 popular data sources and enabling data transformation for up to 20M rows or ten compute hours per month.

Databricks Modernization Program

Informatica’s PowerCenter Modernization to Databricks program provides customers with self-service capabilities to modernize their existing data estate. The program can provide customers with significant cost savings by automatically migrating more than 90% of PowerCenter workloads to the cloud. The program automatically converts legacy data pipelines to cloud-native data pipelines running natively on Databricks via Databricks SQL. The new pipelines benefit from the new personal staging location enhanced Cloud Data Integration service.

“We are excited about the ongoing collaboration and integration with Informatica,” said Roger Murff, VP of Technology Partners at Databricks. “The new Informatica integration with Databricks Unity Catalog and Informatica’s PC Modernization to Databricks Program makes it even easier for organizations to adopt the Databricks Data Intelligence Platform as the foundation for their data, analytics and AI investments.”

Informatica is one of the top three fastest-growing data and AI products in the Databricks ecosystem with 174% year-over-year growth, according to Databricks’ 2023 State of Date + AI report.

About Informatica

Informatica (NYSE: INFA), an Enterprise Cloud Data Management leader, brings data and AI to life by empowering businesses to realize the transformative power of their most critical assets. We have created a new category of software, the Informatica Intelligent Data Management Cloud™ (IDMC). IDMC is an end-to-end data management platform, powered by CLAIRE® AI, that connects, manages, and unifies data across virtually any multi-cloud or hybrid system, democratizing data and enabling enterprises to modernize and advance their business strategies. Customers in more than 100 countries, including 85 of the Fortune 100, rely on Informatica to drive data-led digital transformation. Informatica. Where data and AI come to life.

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Informatica Public Relations

prteam@informatica.com

Source: Informatica

FAQ

What are the benefits of the Databricks-validated Unity Catalog integrations for Informatica (INFA) customers?

The integrations provide a best-in-class solution for onboarding data from 300+ sources and rapidly preparing data for consumption with proven, repeatable transformation capabilities.

What are the validated capabilities that Informatica (INFA) now offers IDMC customers?

Informatica now offers Cloud Data Integration (CDI) Ingest, Automated personal staging location (PSL) Management, Cloud Data Integration Transformation, and Informatica CDI-Free with Unity Catalog validation.

What is the Databricks Modernization Program offered by Informatica (INFA)?

Informatica's PowerCenter Modernization to Databricks program provides customers with self-service capabilities to modernize their existing data estate, automatically migrating more than 90% of PowerCenter workloads to the cloud.

What are the benefits of the Databricks Modernization Program for Informatica (INFA) customers?

The program can provide customers with significant cost savings by automatically migrating legacy data pipelines to cloud-native data pipelines running natively on Databricks via Databricks SQL, benefiting from the new personal staging location enhanced Cloud Data Integration service.