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This article will explain in detail what common nosql databases are, and the editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

Now that NoSQL databases are becoming more and more popular, I've summarized some great, free and open source NoSQL databases here. Among these databases, MongoDB is at the top of the list, with considerable 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 advantages in performance.

However, these NoSQL databases may not be the best for you. Most common applications can still be developed using traditional relational databases. NoSQL databases are still not well suited for mission-critical transaction requirements. I have made some brief introduction to these databases, so let's take a look.

1. MongoDB

MongoDB is a document-oriented database that uses JSON-style data formats. It is very suitable for data storage, content management and caching applications of the website, and replication and high availability can be achieved through configuration.

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

2. Cassandra

This is a project of the Apache Software Foundation. Cassandra is a distributed database that supports decentralized data storage, fault tolerance and no single point of failure. In other words, "Cassandra is ideal for applications that can't stand 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, as well as provide caching and so on. You can run MapReduce queries 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 mimics Google's BigTable database system. The creators of Hypertable made it the goal of Hypertable to "become an open source standard for highly available, PB-scale databases." In other words, Hypertable is designed to store large amounts of data reliably across multiple inexpensive servers.

5. Redis

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

6. Riak

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

7. Neo4j

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

8. Hadoop HBase

HBase is a scalable, distributed big data storage. It can be used in real-time and random data access scenarios. HBase has modular and linear scalability, and can ensure strict consistency of reading and writing. HBase provides a Java API for easy client access, configurable and automated table partitioning, and features such as Bloom filters and block caching.

9. Couchbase

Although Couchbase is a derivative of CouchDB, it has become a full-featured database product. Its tendency to move to document databases will put pressure on MongoDB. It is multithreaded on each node, which is a major scalability advantage, especially when hosted on custom or Bare-Metal hardware. With some great integration features, such as integration with Hadoop, Couchbase is a great choice for data storage.

10. MemcacheDB

This is a distributed key storage system, and we should not confuse it with a caching solution; instead, it is a persistent storage engine that stores data and retrieves data in a very fast and reliable manner. It follows the memcache protocol. Its storage backend is used in Berkeley DB and supports features such as replication and transactions.

11. REVENDB

RAVENDB is a second-generation open source database that is document-oriented and schema-free, making it easy to store objects in it. It provides very flexible and fast queries, and out-of-the-box support for replication, multi-rent and shards makes it very easy to scale. It provides complete support for ACID transactions while ensuring the security of data. In addition to high performance, it provides easy scalability through bundle.

12. Voldemort

This is a distributed storage system that replicates automatically. It provides automated data partitioning, transparent server failure handling, pluggable serialization, independent nodes, data versioning, and data distribution across various data centers.

This is the end of this article on "what are the common nosql databases?". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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