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Accelerate Your Time to Value with Informatica Intelligent Cloud Services

Now more than ever, businesses are focused on improving agility, flexibility, and scalability. Modernizing analytics in the cloud is instrumental in achieving these goals, but many cloud analytics initiatives fail due to data integration, data quality, and metadata management issues.

To avoid those pitfalls, you need an intelligent, automated approach to your cloud data warehouse and data lake. A focused cloud lakehouse data management strategy helps you drive first time to value and ROI—whether you’re modernizing, consolidating, or just getting started in the cloud. It also future-proofs your business with a multi-cloud strategy spanning the cloud platforms your business runs on: AWS, Google Cloud, Microsoft Azure, Snowflake, and more.

Informatica offers the only enterprise-class, cloud-native, end-to-end data management solution for lakehouses, data warehouses, and data lakes. Let’s maximize your cloud investment with the power of intelligent data.


Leaders Choose Leaders

See how our customers use modern cloud-based architectures to drive their businesses forward.

Home Point Financial

Home Point Financial: Becoming Data Driven with Cloud Analytics Modernization

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“Informatica Intelligent Cloud Services saves us an incredible amount of time. Without it, modernizing our systems on AWS would take much longer.”

—Data Architect, Flagship State University

What the Experts Are Saying



Jitesh Ghai

Senior VP & GM, Data Management, Informatica



Josh Erhardt

Director, Strategic Ecosystems, Informatica


Need Cloud Data Warehouse Best Practices?

Interested in the Changing Role of Data Lakes or Lakehouses? Start Here.

We’ve compiled a collection of resources for every stage of your data warehouse and data lake modernization projects.



Unleash the Full Power of Data

Accelerate self-service, high-value data with an intelligent cloud data lake.

Bringing the Promise of Data to Light

A 3-part strategy to realize more data at petabyte scale on Microsoft Azure.

Cloud Data Warehousing With Amazon Redshift

Bring the advantage of cloud to your business analytics challenges.

Analyst Reports



Maturity Model: Cloud Data Management for Cloud Data Warehouses and Data Lakes

Get a checklist of implementation must-haves and a maturity model to gauge your cloud data warehouse/data lake capabilities.

Build Cloud Data Warehouses & Data Lakes with AI & Automation

Learn how intelligence and automation support cloud-native data management for cloud data warehouse and data lake architectures.

Avoid Past Mistakes with Modern Cloud Data Management

TDWI experts explore how to deliver faster value from cloud analytics with the right cloud-native data management solution.

Get the Most From Snowflake’s Cloud Data Platform

Infuse analytics solutions with cloud agility and scale by curating trusted, relevant data in a cloud data warehouse.

MLOps: 5 Steps to Operationalize Data Science

Discover MLOps, a new practice for helping data experts and IT build, deploy, and monitor ML algorithms.

Change Data Capture for Real-Time Data Integration & Streaming Analytics

Support streaming analytics and AI/ML use cases by capturing incremental data changes in real time.

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