The Changing Data Management Landscape
The traditional approach to managing data for business intelligence applications is through the use of a relational database for analytics, perhaps as the foundation of a data warehouse system – likely on premise – with business analysis tools accessing the data through SQL or some other standard means.
But that model has been changing in recent years in several ways. Developers of next-generation NoSQL database systems like MarkLogic and Neo4j have been challenging database industry leaders such as Oracle and Microsoft. Cloud-service providers such as Amazon Web Services and Snowflake Computing, meanwhile, provide alternatives to building on-premises data warehouses and business analysis systems.
Which data management solutions for analytics (DMSA) vendors are leading the way in this industry transition? And who are the followers? Gartner’s 2019 Magic Quadrant for Data Management Solutions for Analytics gives us some clues.