Magic Quadrant for Data Integration Tools

The discipline of data integration comprises the architectural techniques, practices and tools that ingest, transform, combine and provision data across the spectrum of data types. This integration takes place in the enterprise and beyond — across partners as well as third-party data sources and use cases — to meet the data consumption requirements of all applications and business processes. This is inclusive of any technology that supports data integration requirements regardless of current market nomenclature (e.g., data ingestion, data transformation, data replication, messaging, data synchronization, data virtualization, stream data integration and many more).