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  2. Jam.py (web framework) - Wikipedia

    en.wikipedia.org/wiki/Jam.py_(web_framework)

    The below code in the Task/Server Module will import data from SQLite to application database: from jam.db.db_modules import SQLITE def on_created ( task ): task . copy_database ( SQLITE , 'demo.sqlite' )

  3. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    There are two limits for a file system: the file system size limit, and the file system limit. In general, since the file size limit is less than the file system limit, the larger file system limits are a moot point. A large percentage of users assume they can create files up to the size of their storage device, but are wrong in their assumption.

  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 in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    SQLite: SQLite Open Source (Public domain) SQL database that supports in-memory storage with the :memory: connection string. [12] Tarantool: Mail.ru Group 2010 Open Source (BSD) In-memory database and application server (data grid) TerminusDB: TerminusDB (formerly DataChemist) 2019 JavaScript, Python, Prolog, Rust, JSON-LD: Open Source (Apache 2.0)

  6. Embedded database - Wikipedia

    en.wikipedia.org/wiki/Embedded_database

    SQLite is a software library that implements a self-contained, server-less, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. The source code, chiefly C, for SQLite is in the public domain. It includes both a native C library and a simple command line client for its database.

  7. DuckDB - Wikipedia

    en.wikipedia.org/wiki/DuckDB

    DuckDB is an open-source column-oriented relational database management system (RDBMS). [1] It is designed to provide high performance on complex queries against large databases in embedded configuration, [2] such as combining tables with hundreds of columns and billions of rows.

  8. 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]

  9. SpatiaLite - Wikipedia

    en.wikipedia.org/wiki/Spatialite

    SpatiaLite is a spatial extension to SQLite, providing vector geodatabase functionality. It is similar to PostGIS, Oracle Spatial, and SQL Server with spatial extensions, although SQLite/SpatiaLite aren't based on client-server architecture: they adopt a simpler personal architecture. i.e. the whole SQL engine is directly embedded within the application itself: a complete database simply is an ...