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Top 10 Widely Used Database Technologies
MySQL is a free and open-source relational database management system. MySQL is offered under two different editions: the open source MySQL Community Server and the proprietary Enterprise Server. Main features of MySQL include cross-platform support, stored procedures, triggers, cursors, X/Open XA distributed transaction processing (DTP) support, ACID compliance, SSL Support and Query Caching. MySQL can also be run on cloud computing platforms. Many programming languages with language-specific APIs include libraries for accessing MySQL databases.
PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. PostgreSQL runs on all major operating systems, has been ACID-compliant since 2001, and has powerful add-ons such as the popular PostGIS geospatial database extender. PostgreSQL comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments.
Microsoft SQL Server
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network. Its main editions include Enterprise, Standard, Web, Business Intelligence, Workgroup and Express.
SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. SQLite is a popular choice as embedded database software for local storage in application software such as web browsers. It is arguably the most widely deployed database engine, as it is used today by several widespread browsers, operating systems, and embedded systems. SQLite source code is in the public-domain and is free to everyone to use for any purpose.
MongoDB is a cross-platform document database. Classified as a NoSQL database program, MongoDB uses flexible JSON-like documents with optional schemas to store data. Its main features include Ad-hoc queries, indexing, replication, load-balancing, file storage and aggregation. MongoDB has official drivers for major programming languages and development environments.There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Redis is an open-source in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. According to monthly DB-Engines rankings, Redis is often the most popular key-value database.Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
MariaDB is one of the most popular open source relational databases made by the original developers of MySQL. MariaDB turns data into structured information in a wide array of applications, ranging from banking to websites. Originally designed as enhanced, drop-in replacement for MySQL, MariaDB is used because it is fast, scalable and robust, with a rich ecosystem of storage engines, plugins and many other tools make it very versatile for a wide variety of use cases.
Oracle Database is a multi-model cross platform database management system commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database workloads.
The Firebase Realtime Database is a cloud-hosted database. Data is stored as JSON and synchronized in realtime to every connected client across iOS, Android, and Web devices. The product assists software developers in building real-time, collaborative applications.
Elasticsearch is a document oriented database based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java. Elasticsearch is the most popular enterprise search engine followed by Apache Solr.

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