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  2. PostgreSQL - Wikipedia

    en.wikipedia.org/wiki/PostgreSQL

    Many informal performance studies of PostgreSQL have been done. [81] Performance improvements aimed at improving scalability began heavily with version 8.1. Simple benchmarks between version 8.0 and version 8.4 showed that the latter was more than ten times faster on read-only workloads and at least 7.5 times faster on both read and write ...

  3. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    PostgreSQL and some other databases have support for foreign schemas, which is the ability to import schemas from other servers as defined in ISO/IEC 9075-9 (published as part of SQL:2008). This appears like any other schema in the database according to the SQL specification while accessing data stored either in a different database or a ...

  4. Comparison of database administration tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_database...

    Yes - Import Database from server/ODBC Yes - Export SQL No No MySQL Workbench: Yes Yes Yes Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes No Oracle SQL Developer: Yes Yes Yes Yes Yes Yes Yes Yes pgAdmin: Yes Yes No CSV, Text, or binary CSV, text, HTML, XML ...

  5. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    If the database has JSON support, such as PostgreSQL and (partially) SQL Server 2016 and later, then attributes can be queried, indexed and joined. This can offer performance improvements of over 1000x over naive EAV implementations., [ 27 ] but does not necessarily make the overall database application more robust.

  6. Better Database Stock: Oracle vs. MongoDB - AOL

    www.aol.com/better-database-stock-oracle-vs...

    That need prompted MongoDB (NASDAQ: MDB) to introduce Atlas, a non-relational database that can store unstructured data types. However, Oracle responded by introducing its own non-relational database.

  7. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...

  8. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    Distributed NoSQL Document Database, JSON model and SQL based Query Language. Yes [9] CouchDB: Apache Software Foundation: Apache License: Any language that can make HTTP requests JSON over REST/HTTP with Multi-Version Concurrency Control and limited ACID properties. Uses map and reduce for views and queries. [10] Yes [11] CrateDB: Crate.io, Inc.

  9. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON-like documents with optional schemas. Released in February 2009 by 10gen (now MongoDB Inc.), it supports features like sharding, replication, and ACID transactions (from version 4.0).