Tuesday, October 27, 2015

Magic Quadrant for Operational Database Management Systems 2015

Gartner defines a DBMS as a complete software system used to define, create, manage, update and query a database. A database is an organized collection of data that may be in multiple formats and may be stored in some form of storage medium (which may include hard-disk drives, flash memory, solid-state drives and/or DRAM). Additionally, according to Gartner's definition, DBMSs provide interfaces to independent programs and tools that both support, and govern the performance of, a variety of concurrent workload types. There is no presupposition that DBMSs must support the relational model or that they must support the full set of possible data types in use today. Furthermore, we do not stipulate that the DBMS must be a closed-source product; we include commercially supported open-source DBMS products in this market. Operational DBMSs must, however, include functionality to support backup and recovery, and have some form of transaction durability — although the atomicity, consistency, isolation and durability (ACID) model is not a requirement.


For this Magic Quadrant, Gartner defines operational DBMSs as systems that also support multiple structures and data types, such as XML, text, JavaScript Object Notation (JSON), audio, image and video content. They must include mechanisms to isolate workload resources and control various parameters of end-user access within managed instances of the data. For a definition of an operational DBMS workload.

Oracle, IBM, Amazon AWS, Microsoft, MongoDB, SAP, DataStax (Cassandra), EnterpriseDB, Redis, MarkLogic & InterSystems are in the leaders quadrant of ‘Magic Quadrant for Operational Database Management Systems 2015’.

Source: Gartner

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