Database ranking: relational databases rank first, and NoSQL is the most popular.

The DB-Engines ranking list shows the most popular database management system. The ranking rule is based on five points: the number of results searched on Google and Bing; the number of searches on GoogleTrends; the number of positions on Indeed; and the number of times mentioned in LinkedIn; the number of questions and replies on Stackoverflow. DB-Engines (point

The DB-Engines ranking list shows the most popular database management system. Ranking rules are based on five points: the number of search results on Google and Bing; the number of searches on Google Trends; the number of positions on Indeed; and the number of times mentioned in LinkedIn; the number of questions and replies on Stackoverflow. DB-Engines (point

DB-Engines ranking

The DB-Engines ranking shows the most popular database management system. Ranking rules are based on five points: the number of search results on Google and Bing; the number of searches on Google Trends; the number of positions on Indeed; and the number of times mentioned in LinkedIn; the number of questions and replies on Stackoverflow.

Top 30 DB-Engines rankings (click to view more)

The top 100 systems in the ranking include traditional relational databases and NoSQL systems. The top few are occupied by traditional relational databases: Oracle, MySQL, SQL Server, MS Acess, PostgreSQL, and DB2. In the database field, these traditional databases are still dominant. However, the vast majority of the seats in the first 100 are occupied by NoSQL databases, and they become increasingly popular.

NoSQL databases are divided into different database types.

Document Stores)

MongoDB is obviously the most popular file storage database. It is also the most popular NoSQL database, ranking 7th in the rankings. CouchDB-one of several Apache Foundation Systems, ranks second in the file storage system. The other two. NET-based RavenDB and Couchbase (A CouchDB Implementation Method) were both improved over the previous month. However, except for the above four, other file storage systems have not received much attention.

Key-value Storage)

Key-value storage is the largest classification in NoSQL databases. The complexity of these systems also varies: from the simplest Berkeley DB version to the most functional version, distributed Riak and Amazon-hosted DymamoDB.

The most popular key-value storage database is Redis-row 11th, which is developed by VMWare and has a unique fast and lightweight memory database system. Memcached is followed by Redis, a widely used cache system. However, the following key-value storage systems have lower scores: Riak, Oracle's Berkeley DB, Amazon's SimpleDB, DynamoDB, and Oracle NoSQL, compared to the previous month's score doubled ).

Column storage (Wide Column Stores)

Column store can be considered as the third important classification of NoSQL. Cassandra -- switch from Facebook to Apache, ranking first in this category. It accounts for 10th of the total rankings, making it the second most popular system in the NoSQL field. HBase (based on Hadoop)-another Apache system, followed by the last 11 digits. Google's BigTable, the creator of this type, is not ranked, because BigTable is not publicly used.

Graph database (Graph DBMS)

Java-based Neo4j is by far the most popular graph database management system. Its main competitors, DEX, OrientDB, InfoGrid, and InfiniteGraph, are quite different from each other.

RTF Storage

RTF storage, a special derivative of graph databases. Apahe Jena is in the leading position, followed by Sesame, while the scores of other systems are significantly behind.

Other categories

Some other types of DB-Engines are generally not used as NoSQL systems, in part because they have existed for a long time, and they are not frequently used as big data problems for processing NoSQL systems. These types are: Local XML database, object-oriented database, content storage, and multi-database.

Future

DB-Engines rankings are updated every month. Although NoSQL database seats will contract due to some integration, we can predict that their popularity will increase.

DB-Engines Ranking Identifies Popular NoSQL Systems (compilation/ZhongHao review/Wang Xudong)

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