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10 Popular Open Source Database Management System (DBMS) to Explore in 2022 & Beyond

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In this digital era, every organization irrespective of the size requires a database to store its data. However, the data is meaningless until it is turned into useful information. To provide such a facility, the database management system comes to the rescue. It’s a prerequisite to translate massive amounts of unstructured and structured information into meaningful and valuable business insights for future growth. Database management systems provide functions to manage, transform, and present stored data, manage, and restore backup etc.

Also Read: 10 Popular Database Management Systems (DBMS) to watch out for in 2021-2022

Open source databases are rapidly gaining traction as they offer a more cost-effective way for the organizations to manage databases. There are numerous options available, and deciding which one is right for you isn’t exactly easy. Here’s a list of 10 popular open source databases for your reference:

1 .MySQL: Developed by Oracle Corporation and written in C, C++ language, MySQL is a leading open source and free database software system. It is the most trusted and widely used open-source database platform in use today. Most popular and highly-trafficked websites globally rely on MySQL due to its ubiquity across platforms and application stacks and for its proven performance, reliability, and ease of use. It offers high performance when handling large databases, is easily scalable, and works on most operating systems. MySQL has one of the largest user bases with an impressive level of support and documentation.

2. PostgreSQL: PostgreSQL is a database management system written in C and used by businesses that deal with huge amounts of data. This database management software is used by several gaming apps, database automation tools, and domain registrations. It comes with many features aimed at helping users to create applications, protect data integrity, and build fault-tolerant environments. The software is highly extensible and many of the features, such as indexes, have defined APIs so that you can build out with it to solve unique challenges.3. MongoDB:  MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. It provides added convenience due to its querying and indexing capabilities. It was mainly designed to support enormous databases. The tool is quite compatible with many programming languages and supports multiple operating systems.

4.  MariaDB: MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system, intended to remain free and open-source software under the GNU General Public License. MariaDB was originally developed by MySQL. It turns data into structured information in a wide array of applications. It was mainly designed to replace MySQL. It consists of a wide range of plugins, making it very versatile in many use cases. The MySQL server can be easily replaced with MariaDB without requiring any code changes.

5 .CockroachDB: CockroachDB is a cloud-native distributed SQL database designed to build, scale, and manage modern, data-intensive applications. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention. It supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.

6 .SQLite: SQLite is a lightweight C library that provided a relational database storage engine. Everything in this database lives in a single file (with a .sqlite extension) that you can put anywhere in your filesystem. And that’s all you need to use it. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day.

7 .Neo4j: Neo4j: Neo4j is an open-source graph database management system that is designed for optimizing fast management, storage, and traversal of nodes and relationships. Neo4j provides real-time performance, and features a flexible schema, drivers for popular languages and frameworks, cloud connectivity, hot backups, and data import capabilities. Common use cases for this tool include software analytics, network management, matchmaking, scientific research, and project management.

8 .ALTIBASE: ALTIBASE is a hybrid database, relational open source database management system manufactured by The Altibase Corporation. It combines an in-memory database with an on-disk database to create a single database that uses a consistent interface to streamline data processing. Because of this hybrid structure, data can be stored and manipulated in main memory alone, on a physical disk alone, or a combination of both, meaning that users don’t need to purchase an in-memory database and an on-disk database separately.

9 .Cassandra: Apache Cassandra is a highly scalable, high-performance distributed database designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Originally developed by Facebook, this NoSQL database is now managed by the Apache Foundation. It supports replication and multi data centre replication. It is fault-tolerant, scalable and consistent. The software is capable of accommodating all the possible data formats.

10 .CouchDB: It is a Relational Database Management System which is compatible with MySQL Protocol and Clients. Designed for the Web, CouchDB stores data in JSON documents that you can access via the Web or query using JavaScript. CouchDB uses a schema-free data model to simplify record management across computing devices, web browsers, and mobile phones. It works well with modern web and mobile applications. It allows the capability of distribution of data efficiently using incremental replication.

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