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
