Web backend data storage libraries are software packages that developers use to store and query data in their web applications. These libraries provide pre-built tools and functions to connect to databases and NoSQL stores and to perform operations such as creating tables, inserting data, querying data, and updating records. By using a data storage library, developers can save time and ensure that their web application is scalable and efficient when handling data. Data storage libraries can be integrated with popular web frameworks such as Django, Flask, and Ruby on Rails, and can be customized to meet the specific needs of each application. Overall, data storage libraries are a valuable resource for developers building web applications that require persistent data storage and retrieval.
Top 10 web backend Data storage libraries for storing and querying data (e.g. databases, NoSQL stores), their popularity, URL and description
1. MongoDB: Popular document-oriented NoSQL database, https://www.mongodb.com/, MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era.
2. MySQL: Popular relational database management system (RDBMS), https://www.mysql.com/, MySQL is an open-source relational database management system (RDBMS) based on Structured Query Language (SQL).
3. Redis: In-memory data structure store, http://redis.io/, Redis is an open source in-memory data structure store used as a database, cache, and message broker that supports a wide range of data structures such as strings, hashes, lists, sets, and more.
4. PostgreSQL: Object-relational RDBMS with advanced features like JSON support and full-text search capabilities., https://www.postgresql.org/, PostgreSQL is an object-relational RDBMS with advanced features like JSON support and full-text search capabilities that make it suitable for modern web applications development needs.
5. Cassandra: Distributed NoSQL key-value store designed to handle large amounts of data across many commodity servers., http://cassandra.apache.org/, Apache Cassandra is a distributed NoSQL key-value store designed to handle large amounts of data across many commodity servers without any single point of failure.
6. Elasticsearch: Distributed search engine built on top of Apache Lucene library., https://www.elastic.co/products/elasticsearch, Elasticsearch is a distributed search engine built on top of Apache Lucene library which provides powerful full-text search capabilities along with other features such as real-time analytics and scalability.
7. Neo4j: Graph Database Management System (GDMBS), http://neo4j.org/, Neo4j is the world's leading Graph Database Management System (GDMBS) which provides powerful graph traversal queries along with other features such as clustering & replication for high availability & scalability.
8. HBase: Columnar NoSQL Database based on Google BigTable design., http://hbase.apache.org/, Apache HBase is an open source columnar NoSQL Database based on Google BigTable design which provides fast random access to huge datasets stored in HDFS or S3 storage systems.
9. Couchbase: Document-oriented NoSQL Database optimized for interactive applications., https://www.couchbase.com/products, Couchbase Server is an open source document-oriented NoSQL Database optimized for interactive applications providing low latency access to documents stored in memory or disk storage systems.
10. Firebase: Cloud-hosted real-time backend service provider., https://firebase.google.com/, Firebase Realtime Database from Google Cloud Platform provides cloud-hosted real-time backend service provider allowing developers to build apps without managing servers or writing server-side code.