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DBMS > ArcadeDB vs. Kinetica vs. MariaDB vs. MongoDB vs. VoltDB

System Properties Comparison ArcadeDB vs. Kinetica vs. MariaDB vs. MongoDB vs. VoltDB

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonKinetica  Xexclude from comparisonMariaDB  Xexclude from comparisonMongoDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenFully vectorized database across both GPUs and CPUsMySQL 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.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document 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
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitearcadedb.comwww.kinetica.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.mongodb.comwww.voltdb.com
Technical documentationdocs.arcadedb.comdocs.kinetica.commariadb.com/­kb/­en/­librarywww.mongodb.com/­docs/­manualdocs.voltdb.com
DeveloperArcade DataKineticaMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MongoDB, IncVoltDB Inc.
Initial release202120122009 infoFork of MySQL, which was first released in 199520092010
Current releaseSeptember 20217.1, August 202111.3.2, February 20246.0.7, June 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageJavaC, C++C and C++C++Java, C++
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freeyesyes infoDynamic columns are supportedschema-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.yes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like DML and DDL statementsyes infowith proprietary extensionsRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoPL/SQL compatibility added with version 10.3JavaScriptJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingseveral options for horizontal partitioning and ShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityyes inforelationship in graphsyesyes infonot for MyISAM storage engineno infotypically not used, however similar functionality with DBRef possibleno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineMulti-document ACID Transactions with snapshot isolationACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyes infooptional, enabled by defaultyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infowith MEMORY storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users and rolesUsers and roles with access to stored procedures
More information provided by the system vendor
ArcadeDBKineticaMariaDBMongoDBVoltDB
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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More resources
ArcadeDBKineticaMariaDBMongoDBVoltDB
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