Informatica Announces Broad Innovation Agenda for Analytics and GenAI Solutions, Built on AWS

• Informatica featured as a launch partner for Amazon SageMaker Lakehouse at AWS re:Invent

• Announces GenAI Enterprise recipes to accelerate GenAI initiatives powered by Amazon Bedrock and advanced data integration with AWS PrivateLink Resource Endpoints

Informatica , a leader in enterprise AI-powered cloud data management, today announced a broad innovation agenda addressing its GenAI, Open Table and analytics capabilities built on AWS. The new capabilities will help customers build and deploy a new generation of generative artificial intelligence (GenAI) and analytics applications. The announcements were made at AWS re:Invent, AWS’s annual conference.

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“We are on a mission to empower our customers to unlock the full potential of their data and GenAI applications”

New developments include blueprints for enterprise-grade GenAI applications and automation recipes for Amazon Bedrock, a fully managed service that provides a single API to access and utilize various high-performing foundation models (FMs) from leading AI companies. Informatica is also a launch partner for Amazon SageMaker Lakehouse. Informatica supports AWS PrivateLink Resource Endpoints for enterprise customers so they can benefit from Informatica’s advanced serverless processing for data integration.

Data Management for AI Capabilities for Amazon Bedrock

Informatica’s data management capabilities for Amazon Bedrock support GenAI application development and deployment with architectural blueprints and automation recipes that help customers deploy and jumpstart their GenAI applications.

The recipes include:

• Connectivity to Amazon Bedrock Knowledge Bases
• Standardization of connectivity and orchestration for reuse across an enterprise
• Support for Retrieval Augmented Generation (RAG) through no-code development and deployment
• Data Quality and Master Data Management (MDM) to ensure GenAI applications are grounded and enriched
• Use of business glossary metadata and data governance to ensure GenAI applications are optimized for an enterprise or industry

These blueprints and recipes simplify the creation of data pipelines and data orchestration for RAG use cases in Amazon Bedrock, giving enterprises an advanced and better way to create AI applications that leverage their internally managed private data with Large Language Models (LLMs) safely and responsibly.

Launch Partner of Amazon SageMaker Lakehouse

Informatica is a launch partner of Amazon SageMaker Lakehouse, an open, and secure data lakehouse within the next generation of Amazon SageMaker, a unified data and AI platform. Amazon SageMaker Lakehouse unifies data across data lakes, data warehouses, operational databases, and enterprise applications. This new Lakehouse capability in Amazon SageMaker is open and interoperable with Apache Iceberg API that makes it easy for data practitioners to access their data from within the Amazon SageMaker Unified Studio using their choice of compatible Apache Iceberg tools and engines such as Amazon EMR or third-party analytics and ML engines. As AWS brings together data, analytics and AI capabilities in Amazon SageMaker, Informatica’s Intelligent Data Management Cloud (IDMC) connects, manages, cleans, masters and unifies data, enabling customers to modernize and achieve business outcomes.

Informatica’s Apache Iceberg support extends to other AWS services, including Amazon Simple Storage Service (S3). With this new capability, users can write data to Apache Iceberg tables in Amazon S3 using no-code data pipelines. Support for Amazon SageMaker Lakehouse will be available by 2025.

Integration with AWS PrivateLink Resource Endpoints

Additionally, Informatica’s new integration with AWS PrivateLink Resource Endpoints for secure networking will facilitate advanced serverless processing, where customers do not need to devote time and resources to manual provisioning, onboarding and configuring servers. Serverless infrastructure can free up tech teams to focus more of their efforts on development of GenAI applications and analytics initiatives that differentiate their businesses. Support for AWS PrivateLink Resource Endpoints will be available starting April 2025.

Pratik Parekh, Senior Vice President and General Manager at Informatica said, “We’re thrilled about the possibilities for customers with our innovation solutions built on AWS. Particularly, integration with Amazon SageMaker Lakehouse and Open Table support will help customers build next generation data architectures and enhance the reach and breadth of IDMC’s platform capabilities across data warehouse, data analytics and AI. With AWS PrivateLink integrations, customers can use serverless deployment architectures while keeping their current workflows. These new developments will allow customers to accelerate GenAI application development and new analytics use cases by ensuring that data is AI-ready.”

Anand Vijai MR, Unit CIO – Risk, Finance and Compliance and Head of Enterprise Data Platforms Engineering said, “Informatica and AWS’s joint innovations in advancing GenAI initiatives, while maintaining high standards for security, governance, and data quality, are truly exciting. I look forward to deploying these capabilities in the coming months and years.”

“We are on a mission to empower our customers to unlock the full potential of their data and GenAI applications,” said Ganapathy (G2) Krishnamoorthy, Vice President, AWS Relational Databases. “We are excited to have Informatica as a launch partner for this new offering. Their comprehensive modern data management capabilities will be a great value add to Amazon SageMaker Lakehouse.”

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