Published: 08 January 2024
Most operational use cases for cloud DBMS are centered on online transaction processing transactions, lightweight transactions or operational intelligence. Data and analytics leaders can use this research to consider, plan and use their cloud DBMS deployments.
The next wave of disruption in the DBMS market will be the emergence of the data ecosystem as the overall data platform. This presents an entire data estate, across heterogeneous products and clouds, as an accessible, logical entity.
Cloud service providers dominate the market for cloud DBMS, with a combined market share of over 80%. Many organizations use these as a default as they are mature enough to successfully handle most standard workloads.
Almost 50% of the relational products in this report use the PostgreSQL API and client. The Redis, MySQL, Cassandra and MongoDB APIs are supported by many DBMS
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Analysts:
Aaron Rosenbaum, Rick Greenwald, Henry Cook, Xingyu Gu, Ramke Ramakrishnan, Adam Ronthal
Gartner Critical Capabilities research complements Gartner Magic Quadrant™ analyses by offering deeper insights into products and services provided by multiple vendors in specific markets, focusing on how well each product meets detailed functional requirements rather than on the vendors’ overall market positioning.
For more information, see the FAQ on How Products and Services Are Evaluated in Gartner Critical Capabilities or visit the Gartner Critical Capabilities methodology page.
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