Open Source Database Softwares
Open Source Database Softwares
A database is a structured collection of data that allows for the storage and manipulation of data. A Database Management System is usually in charge of it (DBMS). To make data querying and processing more efficient, data in a database is often structured in rows and columns in tables.
The best Database Software is listed here, along with popular features and download links. This comparative database name list includes open source database tools that may include Top Free database freemium characteristics.
MySQL
MySQL is a popular open-source relational database management system (RDBMS) used to store, manage and retrieve data. It was developed by Swedish software engineer Michael Widenius and his company MySQL AB. MySQL is widely used in web applications, including popular Content Management Systems (CMS) such as WordPress, Drupal, and Joomla.
MySQL uses Structured Query Language (SQL) to manage the data stored in its databases. It supports a wide range of SQL statements including SELECT, INSERT, UPDATE, and DELETE, and allows users to create, modify and delete tables, and other database objects.
MySQL has several features that make it a popular choice for database management, including its reliability, scalability, and high performance. It can handle large volumes of data and support multiple users simultaneously. It also offers a variety of storage engines, including InnoDB, MyISAM, and Memory.
MySQL is available in two different editions: community edition and enterprise edition. The community edition is free and open-source, while the enterprise edition provides additional features and support for commercial users.
Overall, MySQL is a powerful and flexible database management system that is widely used in a variety of industries and applications.
PostgreSQL
PostgreSQL is a powerful open-source object-relational database management system (ORDBMS) used for storing and managing structured data. It was developed by the PostgreSQL Global Development Group and released under a liberal open-source license. PostgreSQL is a popular choice for enterprise-level applications and is known for its ability to handle large amounts of data and its reliability.
PostgreSQL uses a query language similar to SQL, called PostgreSQL SQL (or simply, “PostgreSQL”). It offers many advanced features such as transaction support, nested transactions, and advanced locking mechanisms. It also supports a wide range of data types, including user-defined types, arrays, and composite types.
One of the key features of PostgreSQL is its extensibility. It allows users to define their own data types, operators, and functions using procedural languages such as PL/SQL, PL/Python, and PL/Perl. This makes it possible to customize PostgreSQL to fit the specific needs of a given application.
PostgreSQL also includes a number of advanced features that are not found in other relational databases. For example, it supports table inheritance, which allows the creation of child tables that inherit the structure and data of their parent tables. It also supports full-text search, allowing users to search for text within large volumes of data.
PostgreSQL is available on a wide range of platforms, including Linux, Windows, and macOS. It is distributed under the PostgreSQL License, which is a permissive open-source license that allows users to modify and distribute the software freely.
Overall, PostgreSQL is a powerful and flexible database management system that offers many advanced features and is widely used in a variety of industries and applications.
MariaDB
MariaDB is an open-source relational database management system (RDBMS) that is a fork of the MySQL database system. It was developed by the original developers of MySQL after its acquisition by Oracle Corporation. MariaDB is designed to be a drop-in replacement for MySQL, which means that it can be used as a drop-in replacement for MySQL without the need for any additional modifications.
MariaDB uses the Structured Query Language (SQL) for managing and querying data. It supports a wide range of SQL statements, including SELECT, INSERT, UPDATE, and DELETE. It also supports a range of storage engines, including InnoDB, MyISAM, and Aria. In addition, MariaDB supports a range of programming languages such as PHP, Java, Python, and Perl.
One of the key features of MariaDB is its performance. It includes several performance optimizations that make it faster than MySQL in many scenarios. For example, it includes a thread pool to manage connections more efficiently, and it includes optimizations for specific workloads such as high-transaction-rate OLTP applications.
Another key feature of MariaDB is its high availability and scalability. It includes support for master-slave replication and multi-master replication, which allows for high availability and scalability in distributed systems.
MariaDB is distributed under the GNU General Public License (GPL), which is a free and open-source license. It is available for a wide range of platforms, including Linux, Windows, and macOS.
Overall, MariaDB is a powerful and flexible database management system that offers high performance, high availability, and scalability. Its compatibility with MySQL and its open-source licensing make it a popular choice for a wide range of applications and industries.
CockroachDB
CockroachDB is a distributed SQL database system that is designed to scale horizontally across multiple nodes and datacenters. It was developed by Cockroach Labs, and it is designed to be highly scalable, resilient, and fault-tolerant.
CockroachDB is based on the Google Spanner architecture and uses a distributed key-value store to store data across multiple nodes. It uses a distributed consensus algorithm called Raft to ensure data consistency and availability. It also uses a distributed SQL query engine to provide full SQL support for querying and managing data.
One of the key features of CockroachDB is its ability to automatically rebalance data and nodes in response to changes in the cluster. This allows it to maintain high availability and scalability even in the face of node failures or network partitions.
CockroachDB also includes built-in support for distributed transactions, which allows multiple users to make updates to the same data concurrently while maintaining data consistency and integrity. It also includes support for distributed backup and restore, which allows for easy disaster recovery in the event of data loss or corruption.
CockroachDB is available under the Apache 2.0 open-source license, which allows for free use and modification of the software. It is designed to be highly compatible with existing SQL applications and tools, making it easy to integrate into existing systems.
Overall, CockroachDB is a highly scalable and resilient distributed SQL database system that is well-suited for large-scale, mission-critical applications. Its built-in support for distributed transactions, automatic rebalancing, and disaster recovery make it a popular choice for organizations that require high availability and scalability in their database systems.
Neo4j
Neo4j is a graph database management system that is designed to store, manage, and query graph data. It was developed by Neo4j, Inc., and is based on the Cypher query language, which is a declarative graph query language that is similar to SQL.
A graph database is a type of database that uses graph structures to represent and store data. In a graph database, data is stored as nodes, which represent entities such as people, places, or things, and edges, which represent the relationships between those entities. This allows for more flexible and expressive modeling of complex data relationships, making graph databases well-suited for use cases such as social networks, recommendation engines, and fraud detection systems.
One of the key features of Neo4j is its ability to perform complex graph queries efficiently. It uses a native graph storage and processing engine that is optimized for querying large graph datasets. This allows for real-time performance even on very large datasets.
Neo4j also includes a number of built-in features for data analysis and visualization. It includes a web-based user interface for exploring and visualizing graph data, as well as built-in support for common graph algorithms such as PageRank and shortest path calculations.
Neo4j is available in both community and enterprise editions. The community edition is free and open-source, while the enterprise edition includes additional features such as clustering, high availability, and security. It is available on a wide range of platforms, including Windows, Linux, and macOS.
Overall, Neo4j is a powerful and flexible graph database system that is well-suited for complex data modeling and analysis. Its efficient graph query engine and built-in data analysis features make it a popular choice for a wide range of applications and industries.
RethinkDB
RethinkDB is an open-source, distributed NoSQL document database management system that is designed for real-time applications. It was developed by RethinkDB, Inc. and is based on a distributed architecture that provides fault tolerance, high availability, and scalability.
RethinkDB uses a JSON-based document model to store and retrieve data, and supports a range of data types including strings, numbers, boolean values, arrays, and objects. It also provides built-in support for indexing and querying data using a declarative query language called ReQL.
One of the key features of RethinkDB is its ability to handle real-time data feeds. It includes built-in support for changefeeds, which allow applications to subscribe to changes in the database and receive updates in real-time. This makes it well-suited for applications such as real-time analytics, chat applications, and collaborative tools.
RethinkDB also includes support for sharding and replication, which allows it to scale horizontally across multiple nodes and data centers. It uses a distributed consensus algorithm called Raft to ensure data consistency and availability in the event of node failures or network partitions.
RethinkDB is available under the Apache 2.0 open-source license, which allows for free use and modification of the software. It is available on a wide range of platforms, including Windows, Linux, and macOS.
Overall, RethinkDB is a powerful and flexible NoSQL document database system that is well-suited for real-time applications. Its support for real-time data feeds and distributed architecture make it a popular choice for developers who require real-time data processing and analysis.
Redis
Redis is an open-source, in-memory data structure store that is commonly used as a database, cache, and message broker. It was developed by Salvatore Sanfilippo and is designed to be highly performant, scalable, and reliable.
Redis stores data in memory, which allows for extremely fast data access and retrieval. It supports a wide range of data structures, including strings, hashes, lists, sets, and sorted sets. It also includes a number of built-in features for data manipulation and analysis, such as support for transactions, pub/sub messaging, and Lua scripting.
One of the key features of Redis is its support for caching. Redis can be used to cache frequently accessed data in memory, reducing the need to read data from slower disk-based databases or APIs. This can greatly improve the performance of web applications and other systems that rely on frequently accessed data.
Redis also includes support for replication and clustering, which allows it to scale horizontally across multiple nodes and data centers. It uses a master-slave replication model, in which one node acts as the master and the other nodes act as slaves that replicate data from the master. This provides fault tolerance and high availability in the event of node failures or network partitions.
Redis is available under the BSD license, which allows for free use and modification of the software. It is available on a wide range of platforms, including Windows, Linux, and macOS.
Overall, Redis is a highly performant and flexible in-memory data structure store that is well-suited for use cases such as caching, messaging, and data analysis. Its support for replication and clustering also makes it a popular choice for applications that require high availability and fault tolerance.
SQLite
SQLite is an open-source, lightweight, and self-contained relational database management system (RDBMS). It is designed to be embedded into applications and devices, and is widely used in mobile devices, desktop applications, and web browsers.
SQLite stores data in a single file, which makes it easy to deploy and manage. It supports a wide range of SQL commands and data types, including strings, integers, floating-point numbers, and date/time values. It also supports transactions, views, triggers, and indexes for efficient data retrieval.
One of the key features of SQLite is its small size and low resource usage. The entire database system, including the database engine, libraries, and utilities, is contained in a single library file that is typically less than 1MB in size. This makes it well-suited for use in resource-constrained environments, such as mobile devices or embedded systems.
SQLite is also highly portable and is available on a wide range of platforms, including Windows, macOS, Linux, and Android. It is also included in many programming languages, including Python, PHP, and Ruby, which makes it easy to integrate into existing applications.
Overall, SQLite is a lightweight and flexible RDBMS that is well-suited for embedded applications and devices. Its small size and low resource usage make it a popular choice for mobile applications and web browsers, while its support for standard SQL commands and data types make it compatible with a wide range of programming languages and frameworks.
MongoDB
MongoDB is an open-source, document-oriented NoSQL database management system that is designed for scalability, flexibility, and ease of development. It was developed by MongoDB Inc. and is widely used in modern web applications, mobile apps, and IoT devices.
MongoDB stores data in flexible, JSON-like documents, which allows for dynamic and fluid data models. It supports a wide range of data types, including strings, numbers, dates, arrays, and binary data. It also includes built-in support for indexing, sharding, and querying data using a powerful and expressive query language called MongoDB Query Language (MQL).
One of the key features of MongoDB is its ability to scale horizontally across multiple nodes and data centers. It uses a distributed architecture that allows for automatic sharding of data across multiple nodes, which can be added or removed as needed. This provides scalability and fault tolerance, allowing MongoDB to handle large and complex data sets with ease.
MongoDB also includes support for transactions, which allow for multiple operations to be performed as a single unit of work. This ensures data consistency and reliability, even in complex and highly concurrent environments.
MongoDB is available under the GNU Affero General Public License, which allows for free use and modification of the software. It is available on a wide range of platforms, including Windows, Linux, and macOS. It also includes official drivers for many programming languages and frameworks, including Python, Java, and Node.js.
Overall, MongoDB is a highly flexible and scalable NoSQL database management system that is well-suited for modern web applications and other data-intensive applications. Its support for distributed architecture, powerful query language, and flexible data models make it a popular choice for developers who need to handle large and complex data sets.
Very informative blog