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  2. NewSQL - Wikipedia

    en.wikipedia.org/wiki/NewSQL

    The term was first used by 451 Group analyst Matthew Aslett in a 2011 research paper discussing the rise of a new generation of database management systems. [5] One of the first NewSQL systems was the H-Store parallel database system. [7] [8]

  3. Clustrix - Wikipedia

    en.wikipedia.org/wiki/Clustrix

    It has parallel backup and parallel replication among clusters for disaster recovery. Clustrix is a scale-out SQL database management system and part of what are often called the NewSQL database systems (modern relational database management systems), closely following the NoSQL movement. [15]

  4. 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 ...

  5. H-Store - Wikipedia

    en.wikipedia.org/wiki/H-Store

    H-Store was promoted as a new class of parallel database management systems, called NewSQL, [6] that provide the high-throughput and high-availability of NoSQL systems, but without giving up the transactional consistency of a traditional DBMS known as ACID (atomicity, consistency, isolation and durability). [7]

  6. 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.

  7. 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.

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