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DBMS > CockroachDB vs. LMDB vs. MariaDB vs. Memcached vs. MongoDB

System Properties Comparison CockroachDB vs. LMDB vs. MariaDB vs. Memcached vs. MongoDB

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonLMDB  Xexclude from comparisonMariaDB  Xexclude from comparisonMemcached  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A high performant, light-weight, embedded key-value database libraryMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.In-memory key-value store, originally intended for cachingOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value storeDocument store
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score421.65
Rank#5  Overall
#1  Document stores
Websitewww.cockroachlabs.comwww.symas.com/­symas-embedded-database-lmdbmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.memcached.orgwww.mongodb.com
Technical documentationwww.cockroachlabs.com/­docswww.lmdb.tech/­docmariadb.com/­kb/­en/­librarygithub.com/­memcached/­memcached/­wikiwww.mongodb.com/­docs/­manual
DeveloperCockroach LabsSymasMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMongoDB, Inc
Initial release201520112009 infoFork of MySQL, which was first released in 199520032009
Current release23.1.1, May 20230.9.32, January 202411.3.2, February 20241.6.25, March 20246.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen SourceOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoBSD licenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageGoCC and C++CC++
Server operating systemsLinux
macOS
Windows
Linux
Unix
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemedynamic schemaschema-freeyes infoDynamic columns are supportedschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infowith proprietary extensionsnoRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Proprietary native API
Proprietary protocolGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresnonoyes infoPL/SQL compatibility added with version 10.3noJavaScript
Triggersnonoyesnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneseveral options for horizontal partitioning and ShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallityMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage enginenono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infonot for MyISAM storage enginenoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage enginenoyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infowith MEMORY storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and roles
More information provided by the system vendor
CockroachDBLMDBMariaDBMemcachedMongoDB
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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More resources
CockroachDBLMDBMariaDBMemcachedMongoDB
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