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  2. NuoDB - Wikipedia

    en.wikipedia.org/wiki/NuoDB

    Adding database capacity can be done by adding more TEs or SMs. [41] The NuoDB 2.6 release added support for active-active database deployments across multiple Amazon Web Services (AWS) availability zones. [42] Unlike other database systems, NuoDB makes it possible to expand its databases by adding more servers rather than simply replacing ...

  3. NewSQL - Wikipedia

    en.wikipedia.org/wiki/NewSQL

    The two common distinguishing features of NewSQL database solutions are that they support online scalability of NoSQL databases and the relational data model (including ACID consistency) using SQL as their primary interface. [11] NewSQL systems can be loosely grouped into three categories: [2] [12]

  4. TiDB - Wikipedia

    en.wikipedia.org/wiki/TiDB

    TiDB (/’taɪdiːbi:/, "Ti" stands for Titanium) is an open-source NewSQL database that supports Hybrid Transactional and Analytical Processing workloads. [3] Designed to be MySQL compatible, it is developed and supported primarily by PingCAP and licensed under Apache 2.0. It is also available as a paid product.

  5. H-Store - Wikipedia

    en.wikipedia.org/wiki/H-Store

    H-Store is an experimental database management system (DBMS). It was designed for online transaction processing applications. H-Store was developed by a team at Brown University , Carnegie Mellon University , the Massachusetts Institute of Technology , and Yale University [ 1 ] [ 2 ] in 2007 by researchers Michael Stonebraker , Sam Madden ...

  6. Distributed SQL - Wikipedia

    en.wikipedia.org/wiki/Distributed_SQL

    A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones.

  7. Operational database - Wikipedia

    en.wikipedia.org/wiki/Operational_database

    Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.

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