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DB Fiddle [am] Free & Paid No No No Yes MySQL, PostgreSQL, SQLite dbfiddle [an] Free No No No Yes Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB ExtendsClass [ao] Free Yes No No Yes MySQL, SQLite (SQL.js) PhpFiddle [ap] Free Yes No No Yes MySQL, SQLite runnable [aj] Free Yes Yes Yes No SQL Fiddle [aq ...
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 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.
phpLiteAdmin is an open-source tool written in PHP intended to handle the administration of SQLite over the World Wide Web. Its feature set, interface, and overall user experience is comparable to that of phpMyAdmin for MySQL.
Yes - user manager with support for database and schema permissions as well as for individual object (table, view, functions) permissions; Some - simple user manager with support for database and schema permissions; No - no user manager, or read-only user manager
Database Workbench supports the following relational databases: Oracle Database, Microsoft SQL Server, SQL Anywhere, Firebird, NexusDB, InterBase, MySQL, MariaDB, SQLite and PostgreSQL [14] [15] [16] Version 6 of Database Workbench is a 64-bit application for Windows platforms, previous versions were 32-bit. [17]
Web SQL Database is a deprecated web browser API specification for storing data in databases that can be queried using SQL variant. [ 1 ] [ 2 ] The technology was only ever implemented in Blink-based browsers like Google Chrome and the new Microsoft Edge , and WebKit-based browsers like Safari .
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.
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]