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  2. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...

  3. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]

  4. FoundationDB - Wikipedia

    en.wikipedia.org/wiki/FoundationDB

    FoundationDB is a free and open-source multi-model distributed NoSQL database developed by Apple Inc. with a shared-nothing architecture. [3] The product was designed around a "core" database, with additional features supplied in "layers." [4] The core database exposes an ordered key–value store with transactions. [5]

  5. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Highly available distributed real-time in-memory NoSQL database. Often used with MySQL for SQL cross-shard parallel query processing. OmniSci: OmniSci (formerly MapD) 2013 Open Source (Apache License 2.0) GPU-accelerated, SQL database and visualization platform for real-time analytics. Product consists of the core database plus a BI ...

  6. Oracle NoSQL Database - Wikipedia

    en.wikipedia.org/wiki/Oracle_NoSQL_Database

    Oracle NoSQL Database provides ACID compliant transactions for full create, read, update and delete operations, with adjustable durability and consistency transaction guarantees. A sequence of operations can operate as a single atomic unit as long as all the affected records share the same major key path.

  7. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

  8. Google Cloud Datastore - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Datastore

    Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. [1] Cloud Datastore is built upon Google's Bigtable and Megastore technology. [2] Google Cloud Datastore allows the user to create databases either in Native or Datastore Mode.

  9. ScyllaDB - Wikipedia

    en.wikipedia.org/wiki/ScyllaDB

    The ScyllaDB authors claim that this design allows ScyllaDB to achieve much better performance on modern NUMA SMP machines, and to scale very well with the number of cores. They have measured as much as 2 million requests per second on a single machine, [ 3 ] and also claim that a ScyllaDB cluster can serve as many requests as a Cassandra ...