Informatica a Leader Again: 2021 Gartner® Magic Quadrant™ for Data Integration Tools
Machine learning allows innovative marketing teams to uncover business insights hidden in large repositories of data from sources like customer surveys, website traffic, purchase behavior, and more. With machine learning, marketers enhance targeted campaigns, boost revenue for the organization, improve customer service, and optimize operations throughout the department – and that’s just the beginning.
Data integration is the anchor of your analytics strategy. With continuing innovation in our Intelligent Data Management Cloud platform, Informatica offers the industry’s best cloud data integration capabilities to help you accelerate your cloud analytics and digital transformation.
Our cloud data integration solution provides:
- The industry’s most comprehensive metadata-driven intelligence for an intelligent data fabric: Informatica data integration solutions are powered by Informatica CLAIRE – our metadata-driven AI and machine-learning engine. With CLAIRE, you have the foundation for an intelligent data fabric to fuel automation, build knowledge graphs, and ultimately enable autonomous data management across your enterprise.
- The most scalable, high-performance, and cost-effective data integration capabilities: Our cloud data integration services address the costs, complexity, and resource constraints that can hinder modern integration efforts with built-in performance- and cost-optimization features. Tackle any integration use case with pushdown optimization (ELT), elastic Spark, serverless, and ETL capabilities – delivered through one common platform: the Intelligent Data Management Cloud.
- The widest range of capabilities for any data integration use case and data consumer: With Informatica, both technical and non-technical teams can easily build data pipelines, increase collaboration, and share trusted data across multi-cloud and multi-hybrid environments. Our solutions enable you to extend integration across the enterprise by implementing data hubs and data marketplaces to increase business resiliency and fuel data democratization.