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DBMS > Infobright vs. MariaDB vs. MongoDB vs. VictoriaMetrics

System Properties Comparison Infobright vs. MariaDB vs. MongoDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonMariaDB  Xexclude from comparisonMongoDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendMySQL 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 infrastructureA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMS
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#162  Overall
#79  Relational DBMS
Score104.36
Rank#12  Overall
#8  Relational DBMS
Score484.67
Rank#5  Overall
#1  Document stores
Score0.56
Rank#231  Overall
#18  Time Series DBMS
Websitewww.ignitetech.com/­infobright-dbmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.mongodb.comvictoriametrics.com
Technical documentationmariadb.com/­kb/­en/­librarydocs.mongodb.com/­manualdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MongoDB, IncVictoriaMetrics
Initial release2005200920092018
Current release10.6.5, November 20215.0, July 2021v1.63, July 2021
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open 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 infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono 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.
SkySQL (The Ultimate MariaDB Cloud): The first and only DBaaS to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • 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 languageCC and C++C++Go
Server operating systemsLinux
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes 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.
Typing infopredefined data types such as float or dateyesyesyes 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.noyesno
Secondary indexesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
proprietary protocol using JSONGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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
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 proceduresnoyes infoPL/SQL compatibility added with version 10.3JavaScriptno
Triggersnoyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesnoneseveral 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.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infowith MEMORY storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
InfobrightMariaDBMongoDBVictoriaMetrics
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesMariaDB has many features unavailable in other open source relational databases....
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Specifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
When the current monitoring solution can't keep up with increasing workload Kubernetes...
» 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
Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
VictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfobrightMariaDBMongoDBVictoriaMetrics
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