Gartner - 2019 Magic Quadrant for Data Management Solutions for Analytics

Gartner defines a data management solution for analytics (DMSA) as a complete software system that supports and manages data in one or many file management systems, most commonly a database or multiple databases. These management systems include specific optimization strategies designed for supporting analytical processing — including, but not limited to, relational processing, nonrelational processing (such as graph processing), and machine learning or programming languages such as Python or R. Data is not necessarily stored in a relational structure, and can use multiple data models — relational, XML, JavaScript Object Notation (JSON), key-value, graph, geospatial and others.

Our definition also states that:

• A DMSA is a system for storing, accessing, processing and delivering data intended for one or more of the four primary use cases Gartner identifies that support analytics (see Note 1).
• A DMSA is not a specific class or type of technology; it is a use case.
• A DMSA may consist of many different technologies in combination. However, any offering or combination of offerings must, at its core, exhibit the capability of providing access to the data under management by open-access tools.
• A DMSA must support data availability to independent front-end application software, and include mechanisms to isolate workload requirements and control various parameters of end-user access within managed instances of data.
• A DMSA must have administrative control of the data it is using; the data may be persisted outside the DMSA on a variety of storage options, including distributed object stores, or other persistent file systems.
• There are many different delivery models, such as stand-alone DBMS software, certified configurations, database platform as a service (dbPaaS) offerings and DBMS appliances. These are evaluated in the analysis of each vendor.

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