Accelerate Your Time to Value with Cloud Lakehouse Data Management

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.

Data-Driven Insurance: How AXA XL Is Using Big Data to Streamline Customer Product Offering

Learn more

Kelly Services: Connecting Great People to Great Companies...

Learn more

Home Point Financial: Becoming Data Driven with Cloud...

Learn more

“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

 


 

Deepa Sankar

Senior Director, Product Marketing, 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.

 

eBooks

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

Webinars

 

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.

 Comparative Costs and Uses of Data Management for Cloud

Bloor Research discusses the cloud data integration and data management market with an emphasis on TCO and time to value.

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.

 Deliver Trusted Data for Your Data Lake at Scale

Ensure your data is clean and high-quality so your data scientists and analysts can deliver meaningful results.

How Can We Help?

Free Trials

Explore the most comprehensive iPaaS on the market.

Check Out Our Cloud Solutions

Future-proof yourself from rapidly changing cloud environments.