Gartner Magic Quadrant for Data Warehouse and Data Management
Discover data management industry leaders and their solutions for analytics and processing
In 2015, the data warehouse expanded to address multiple data types, processing engines and repositories. We now see a much wider separation in the Leaders quadrant. Enterprise architects and data warehouse managers must work with their CIOs to address the new demands and solution options.
Included in this Gartner Magic Quadrant report:
- Market definition and description of data warehouses
- Top vendor strengths and cautions
- Evaluaion criteria when researching data management solutions
This asset is sponsored by IBM.