DBMS > Couchbase vs. Dragonfly vs. MySQL vs. PostgreSQL vs. Trafodion
System Properties Comparison Couchbase vs. Dragonfly vs. MySQL vs. PostgreSQL vs. Trafodion
Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | Couchbase Originally called Membase Xexclude from comparison | Dragonfly Xexclude from comparison | MySQL Xexclude from comparison | PostgreSQL Xexclude from comparison | Trafodion Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database | A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance | Widely used open source RDBMS | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Transactional SQL-on-Hadoop DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Key-value store | Relational DBMS Key/Value like access via memcached API | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Key-value store originating from the former Membase product and supporting the Memcached protocol Spatial DBMS using the Geocouch extension Search engine Time Series DBMS Vector DBMS | Document store Spatial DBMS | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.couchbase.com | github.com/dragonflydb/dragonfly www.dragonflydb.io | www.mysql.com | www.postgresql.org | trafodion.apache.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.couchbase.com | www.dragonflydb.io/docs | dev.mysql.com/doc | www.postgresql.org/docs | trafodion.apache.org/documentation.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Couchbase, Inc. | DragonflyDB team and community contributors | Oracle since 2010, originally MySQL AB, then Sun | PostgreSQL Global Development Group www.postgresql.org/developer | Apache Software Foundation, originally developed by HP | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2011 | 2023 | 1995 | 1989 1989: Postgres, 1996: PostgreSQL | 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023 | 1.0, March 2023 | 9.0.0, July 2024 | 16.4, August 2024 | 2.3.0, February 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Business Source License (BSL 1.1); Commercial licenses also available | Open Source BSL 1.1 | Open Source GPL version 2. Commercial licenses with extended functionallity are available | Open Source BSD | Open Source Apache 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C, C++, Go and Erlang | C++ | C and C++ | C | C++, Java | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux OS X Windows | Linux | FreeBSD Linux OS X Solaris Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | scheme-free | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | strings, hashes, lists, sets, sorted sets, bit arrays | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | yes | yes specific XML-type available, but no XML query functionality. | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | no | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases | no | yes with proprietary extensions | yes standard with numerous extensions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | CLI Client HTTP REST Kafka Connector Native language bindings for CRUD, Query, Search and Analytics APIs Spark Connector Spring Data | Proprietary protocol RESP - REdis Serialization Protocol | ADO.NET JDBC ODBC Proprietary native API | ADO.NET JDBC native C library ODBC streaming API for large objects | ADO.NET JDBC ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C Go Java JavaScript Node.js Kotlin PHP Python Ruby Scala | C C# C++ Clojure D Dart Elixir Erlang Go Haskell Java JavaScript (Node.js) Lisp Lua Objective-C Perl PHP Python R Ruby Rust Scala Swift Tcl | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | All languages supporting JDBC/ODBC/ADO.Net | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | Functions and timers in JavaScript and UDFs in Java, Python, SQL++ | Lua | yes proprietary syntax | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | Java Stored Procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes via the TAP protocol | publish/subscribe channels provide some trigger functionality | yes | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Automatic Sharding | horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication including cross data center replication Source-replica replication | Source-replica replication | Multi-source replication Source-replica replication | Source-replica replication other methods possible by using 3rd party extensions | yes, via HBase | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | no | no | no | yes via user defined functions and HBase | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency Immediate Consistency selectable on a per-operation basis | Eventual Consistency | Immediate Consistency | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | yes not for MyISAM storage engine | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | Atomic execution of command blocks and scripts | ACID not for MyISAM storage engine | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes, strict serializability by the server | yes table locks or row locks depending on storage engine | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes Ephemeral buckets | yes | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control. | Password-based authentication | Users with fine-grained authorization concept no user groups or roles | fine grained access rights according to SQL-standard | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Couchbase Originally called Membase | Dragonfly | MySQL | PostgreSQL | Trafodion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Conferences, events and webinars | PASS Data Community Summit | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Couchbase’s stock crumbles on anticipation of significant growth slowdown Couchbase director Anderson buys $298k in company stock Couchbase, Inc. (BASE) Reports Q2 Loss, Tops Revenue Estimates Couchbase director buys $298.5K in common stock Why Couchbase Stock Plummeted Today provided by Google News | DragonflyDB Announces $21m in New Funding and General Availability DragonflyDB reels in $21M for its speedy in-memory database DragonflyDB Raises $21M in Funding Intel Linux Kernel Optimizations Show Huge Benefit For High Core Count Servers The Performance Impact Of Intel's Register File Data Sampling "RFDS" Mitigation provided by Google News | MySql Explain with Tobias Petry Amazon RDS for MySQL zero-ETL integration with Amazon Redshift, now generally available, enables near real-time analytics | Amazon Web Services HeatWave MySQL – New Capabilities for OLTP Workloads Proposal Seeks To Replace MySQL With MariaDB By Default For Ubuntu 25.04 How to get started with MySQL provided by Google News | Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server Supabase raises $80m to expand PostgreSQL platform PostgreSQL tutorial: Get started with PostgreSQL 16 PostgreSQL databases under attack MongoDB takes a swing at PostgreSQL after claiming wins against rival provided by Google News |
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