12 free and open-source NoSQL databases _ MySQL

NoSQLNareshKumar is a software engineer and enthusiastic blogger who is very interested in programming and new things and is very happy to share technical research results with other developers and programmers. Recently, Naresh wrote about 12 well-known free and open-source NoSQL databases and analyzed their features. NoSQL databases are becoming more and more popular. here I have summarized some very good, free and open-source NoSQL databases. Among these databases, Mo NoSQL

Naresh Kumar is a software engineer and enthusiastic blogger who is very interested in programming and new things and is very happy to share technical research results with other developers and programmers. Recently, Naresh wrote about 12 well-known free and open-source NoSQL databases and analyzed their features.

NoSQL databases are becoming more and more popular. here I have summarized some very good, free and open-source NoSQL databases. Among these databases, apsaradb for MongoDB is the top choice and has a considerable amount of usage. These free and open-source NoSQL databases have good scalability and flexibility, and are very suitable for big data storage and processing. Compared with traditional relational databases, these NoSQL databases have great performance advantages. However, these NoSQL databases may not be the most suitable for you. Most common applications can still be developed using traditional relational databases. NoSQL databases are still not suitable for mission-critical transactions. I have briefly introduced these databases. let's take a look at them below.

1. MongoDB

MongoDB is a document-oriented database that uses a JSON data format. It is very suitable for website data storage, content management and cache applications, and supports replication and high availability through configuration.

MongoDB has high scalability and excellent performance. It is written in C ++ and based on document storage. In addition, mongoDB also supports full-text retrieval, high availability across WAN and LAN, easy-to-achieve replication, horizontal scaling, rich documentation-based queries, and strong flexibility in data processing and aggregation.

2. Cassandra

This is an Apache Software Foundation project. Cassandra is a distributed database that supports distributed data storage, fault tolerance, and no SPOF. In other words, "Cassandra is very suitable for applications that cannot tolerate data loss ".

3. CouchDB

This is also a project of the Apache Software Foundation. CouchDB is another document-oriented database that stores data in JSON format. It is compatible with ACID. like MongoDB, CouchDB can also be used to store website data and content and provide cache. You can run MapReduce query on CouchDB through JavaScript. In addition, CouchDB provides a very convenient Web-based management console. It is very suitable for Web applications.

4. Hypertable

Hypertable imitates Google's BigTable database system. The creator of Hypertable sets "becoming an open source standard for high-availability and PB-scale databases" as the goal of Hypertable. In other words, Hypertable is designed to reliably store large amounts of data across multiple cheap servers.

5. Redis

This is an open-source and advanced key-value storage. Because hash, set, string, sorted set, and list are used in the key, Redis is also called a data structure server. This system can help you perform atomic operations, such as adding hash values, intersection operations of sets, string concatenation, difference sets, and Union sets. Redis achieves high performance through data sets in the memory. The database is also compatible with most programming languages.

6. Riak

Riak is one of the most powerful distributed databases. It provides easy and predictable scaling capabilities, providing users with fast testing, prototyping, and application deployment capabilities, thus simplifying the application development process.

7. Neo4j

Neo4j is a NoSQL Graph database with high performance. It has all the features of a robust and mature system, providing programmers with a flexible and object-oriented network structure, allowing developers to fully enjoy all the benefits of a database with complete transaction features. Compared with RDBMS, Neo4j also provides some performance improvements for some applications.

8. Hadoop HBase

HBase is a scalable and distributed big data storage service. It can be used in real-time and random access to data. HBase has modular and linear scalability, and can ensure strict consistency of read and write. HBase provides a Java API for easy client access, configurable and automatic table partitioning, Bloom filters, block caching, and other features.

9. Couchbase

Although Couchbase is derived from CouchDB, it has become a fully functional database product. The migration trend to document databases puts MongoDB under pressure. Each node is multi-threaded, which is a major scalability advantage, especially when hosted on custom or Bare-Metal hardware. Couchbase is a good choice for data storage with some excellent integration features, such as integration with Hadoop.

10. MemcacheDB

This is a distributed key-value storage system. we should not mix it with the cache solution. On the contrary, it is a persistent storage engine, it is used for data storage and quick and reliable data retrieval. It complies with the memcache protocol. Its storage backend is used in Berkeley DB and supports features such as replication and transactions.

11. REVENDB

RAVENDB is the second generation of open source database. it is oriented to document storage and has no mode, so that you can easily store objects in it. It provides flexible and fast queries. by providing out-of-the-box support for replication, multi-tenancy, and sharding, we can easily implement the scaling function. It provides complete support for ACID transactions and ensures data security. In addition to high performance, bundle provides easy scalability.

12. Voldemort

This is an automatic replication distributed storage system. It provides automated data partitioning, transparent server failure processing, pluggable serialization, independent nodes, data versioning, and data distribution across various data centers.

Readers do not know which NoSQL databases have been used in your project, now, or in the future. Today's NoSQL world is complex, with many NoSQL databases, and some databases provide similar features. This article lists only 12 typical NoSQL products. Have you used them? Have you used any products not described in this article? What features did they impress you and let you decide to use them? You are welcome to share your experiences and opinions with us.