Databases Usage Statistics and Market Share in Nepal (.np)
We are tracking usage statistics and market share of 5 web technologies in Databases in Nepal (.np). In April 2024 the most popular web technology in Databases in Nepal (.np) is MySQL with 100% market share. In second place there is Firebase with 0% market share. After that there are PostgreSQL with 0%, Redis with 0% and SQLite with 0% market share. Top 5 web technologies together have 100% market share.
About Databases
A database is an organized collection of data, generally stored and accessed electronically from a computer system.
We are tracking 5 different technologies in Databases.
There are 4,020 websites using Databases in Nepal (.np websites) in out database.
Databases Usage Statistics and Market Share in Nepal (.np) in April 2024
#1 MySQL 
99.58%
#2 Firebase 
0.20%
#3 PostgreSQL 
0.17%
#4 Redis 
0.02%
#5 SQLite 
0.02%
Technologies in Databases in Nepal (.np)
MySQL
MySQL is an open source relational database management system (RDBMS) based on Structured Query Language (SQL). It is one of the most popular RDBMSs and is used to store, organize, and retrieve data for a wide variety of applications. MySQL is used by many web-based applications, including WordPress, Drupal, and other content management systems. It is also used in many enterprise applications, such as banking, shopping, and e-commerce systems. MySQL is easy to use and can be quickly set up and configured on most operating systems. It is highly secure and supports a wide range of features that make it a robust and reliable database solution.
Firebase
Firebase is a mobile and web application development platform developed by Firebase, Inc. in 2011, then acquired by Google in 2014.
PostgreSQL
PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.
Redis
Redis is an in-memory data structure project implementing a distributed, in-memory key–value database with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indexes.
SQLite
Databases Market Share History in Nepal (.np) in Last 12 Months
| Technology | June 2023 | July 2023 | August 2023 | September 2023 | October 2023 | November 2023 | December 2023 | January 2024 | February 2024 | March 2024 | April 2024 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| MySQL | 99.64% | 99.58% | 99.58% | 99.58% | 99.58% | 99.58% | 99.58% | 99.58% | 99.58% | 99.58% | 99.58% |
| Firebase | 0.19% | 0.20% | 0.20% | 0.20% | 0.20% | 0.20% | 0.20% | 0.20% | 0.20% | 0.20% | 0.20% |
| PostgreSQL | 0.12% | 0.17% | 0.17% | 0.17% | 0.17% | 0.17% | 0.17% | 0.17% | 0.17% | 0.17% | 0.17% |
| Redis | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% |
| SQLite | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% |