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  2. 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 ...

  3. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code was first announced on April 29, 2015, by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.

  4. SQLite - Wikipedia

    en.wikipedia.org/wiki/SQLite

    SQLite (/ ˌ ɛ s ˌ k juː ˌ ɛ l ˈ aɪ t /, [4] [5] / ˈ s iː k w ə ˌ l aɪ t / [6]) is a free and open-source relational database engine written in the C programming language. It is not a standalone app; rather, it is a library that software developers embed in their apps .

  5. List of file formats - Wikipedia

    en.wikipedia.org/wiki/List_of_file_formats

    DAT – data file, usually binary data proprietary to the program that created it, or an MPEG-1 stream of Video CD; DSK – file representations of various disk storage images; RAW – raw (unprocessed) data; SZH – files that are associated with zero unique file types (the most prevalent being the Binary Data format)

  6. HeidiSQL - Wikipedia

    en.wikipedia.org/wiki/HeidiSQL

    HeidiSQL is a free and open-source administration tool for MariaDB, MySQL, as well as Microsoft SQL Server, PostgreSQL and SQLite. Its codebase was originally taken from Ansgar Becker's own MySQL-Front 2.5 software. After selling the MySQL-Front branding to an unrelated party, Becker chose "HeidiSQL" as a replacement.

  7. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.

  8. Comparison of wiki software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_wiki_software

    File system: FlexWiki: David Ornstein September 2004: 2.1.0.274 2008-10-20 CPL: Yes ASP.NET, C#: File system, Microsoft SQL Server: Foswiki: Foswiki community December 2008: 2.1.8 [11] 2023-08-06: TWiki GPL: Yes Yes Perl: Flat-file database, RCS, or a variety of databases as plugins [12] Gollum: Tom Preston-Werner, Rick Olson, Dawa Ometto, Bart ...

  9. LevelDB - Wikipedia

    en.wikipedia.org/wiki/LevelDB

    LevelDB outperforms both SQLite and Kyoto Cabinet in write operations and sequential-order read operations. LevelDB also excels at batch writes, but is slower than SQLite when dealing with large values. The currently published benchmarks were updated after SQLite configuration mistakes were noted in an earlier version of the results. [12]