![]() Some users of SQLite include Adobe, Airbus, Apple, Bentley, Bosch, Dropbox, Facebook, General Electric, Google, Intuit, Library of Congress, McAfee, and Microsoft. Going by DB-Engines Ranking that's updated monthly, in January 2019, SQLite was seen in tenth position. It's present in every Android device, every iOS device, every Mac device, every Windows 10 device, every Firefox/Chrome/Safari browser, every Skype/Dropbox/iTunes client, and most set-top boxes and television sets. It's been claimed that SQLite is the most widely deployed database in the world with over one trillion database instances worldwide. If a server-side database is desired, traditional databases such as MS SQL, Oracle or MySQL have intrinsic support for multi-core and multi-CPU architectures, user management and stored procedures. If more concurrency is desired due to many concurrent clients, SQLite is not suitable. Each write typically locks database access for a few dozen milliseconds. SQLite supports concurrent reads but writes are serialized. It's also not suited for high-volume websites, particularly for write-intensive apps. SQLite is not suitable for large datasets, such as exceeding 128 TiB. SQLite does not compete with client/server databases. Because SQLite packs data efficiently, it's faster than these commands. These commands are often used to manage various file formats such as XML, JSON or CSV, and there's a need to write parsers for these. It's suited for small or medium websites that receive less than 100K hits/day.Īpplications can use SQLite instead of file access commands such as fopen, fread and fwrite. It can still be used for web applications if managed by a web server. Using SQLite directly over a networked file system is not recommended. ![]() Even in enterprises, SQLite can stand in for traditional databases for testing, for prototyping or as a local cache that can make the application more resilient to network outages. Because it comes with a command line interface, it can be used for analysis on large datasets. It has a small code footprint, uses memory and disk space efficiently, is reliable and requires little maintenance.
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