Control your costs, speed to market,?and simplify your life?with cloud-native ETL and ELT for integrating data on-premises and across?multiple?clouds. Use one solution to support developers, data engineers, data scientists and business analysts with advanced?data?integration and management patterns.
Connect source and target data with thousands of metadata-aware connectors—and run large-scale integrations with Spark processing in a serverless environment.
Cut costs?with usage-based pricing, an optimization engine and run-time tools to intelligently automate cost control.
Speed integration?with low/no-code development tools, self-service and out-of-the-box templates and wizards to cut design/development time by?up to?80%.?
Reduce complexity?with?one single?platform which includes data Ingestion, data integration, data quality, app integration, API management, and more.?
Ingest data with high-performance ETL, mass ingestion, or change data capture.
Integrate data on any cloud, with ETL, ELT, Spark, or with a fully managed serverless option.
Integrate any application, whether it’s on-premises or SaaS.
Process petabytes of data up to 72x faster within your cloud ecosystem.
See how you can use Informatica’s Cloud Data Integration to quickly start building high-performance data pipelines to meet any data integration need.
Informatica Is a Leader Again in 2021 Gartner? Magic Quadrant? for Data Integration Tools
“We found that Informatica Cloud Data Integration was the most flexible data integration solution and would be the easiest for business users to adopt. We started using it for the simple use case of backing up new Salesforce leads to our marketing database, and it quickly became the backbone of our marketing data ecosystem.”
David Latka
Cloud Mass Ingestion
Efficiently ingest databases, files, and streaming data for real-time data replication and streaming analytics.
Cloud Application Integration
Integrate apps and data in real time with intelligent business processes that span cloud and on-premises sources.
Cloud Data Quality
Quickly identify, fix and monitor data quality problems in cloud and on-premises business apps.
Advanced Serverless Cloud Data Integration
Focus on building data pipelines and applications without worrying about managing infrastructure.
