Published: 25 November 2019
The operational DBMS market offers both relational and nonrelational DBMSs deployed on-premises and in the cloud, and now includes features for machine learning, serverless operation and streaming integration. Data and analytics leaders must balance their needs against this market landscape.
This year’s use cases for operational database management system (ODBMS) include traditional transactions, distributed variable data, event processing/data in motion and augmented transactions (formerly “convergence of transactions and analytics [HTAP]”).
Cloud deployments are increasing as new cloud products become available and cloud capabilities are added to existing products.
Nonrelational DBMSs are maturing, increasingly available in the cloud, and are becoming good choices for some use cases, including certain types of transactions (depending on necessary functionality).
Buyers must decide between all-inclusive products (that may have performance or scalability trade-offs), or a suite of dedicated products (that may increase licensing, management and integration
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