


It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. MongoDB is a document database, which means it stores data in JSON-like documents.Ībout: Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It is one of the popular databases which includes both scalability and flexibility. It is an embedded SQL database engine and unlike most other SQL databases, SQLite does not have a separate server process.Ībout: MongoDB is a general-purpose, document-based, distributed database built for modern application developers and for the cloud era. The SQL Server 2019 includes a number of intuitive features, such as gain insights from all the data by querying across relational, non-relational, structured, and unstructured data, flexibility to use the language and platform of user’s choice with open source support, scalability and performance to improve the stability and response time of database, and more.Ībout: SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. It allows administrators to protect data integrity and build fault-tolerant environments and help manage data.Ībout: Microsoft SQL Server is a relational database management system developed by Microsoft. PostgreSQL comes with many features aimed to help developers build applications. It uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.
#Most universal database software
Developed by Oracle, MySQL Database Software is a client/server system that consists of a multithreaded SQL server that supports different back ends, several different client programs and libraries, administrative tools, and a wide range of application programming interfaces (APIs).Ībout: PostgreSQL is a powerful, open-source object-relational database system that includes some key features like reliability, feature robustness, and performance. MySQLĪbout: MySQL is one of the most popular Open Source SQL database management systems. It is the best fit for use cases requiring more writing operations than reading ones.(The databases are sorted according to their rankings). Cassandra is among the most scalable as it can handle petabytes of information and thousands of concurrent requests. This database solution was first built by Facebook. If you want to easily store real-time messages, it comes as an efficient solution. If the solution you are working on has petabytes of data, then HBase is the best choice. This is a highly scalable, open-source distributed database system. If you are working with OLTP workload, even then DynamoDB is preferred. If your solutions require a database that can handle simple key-value queries in a large number, DynamoDB is the best choice. Some of the popular use-cases involve chatbots which resolve most of the queries.Īmazon's NoSQL database is known for its scalability. It is used by more than 3000 companies including Udemy, Medium, and StackOverflow. This NoSQL database is used if the full-text search is part of your solution.
