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DBMS > JaguarDB vs. MariaDB vs. MongoDB vs. Snowflake vs. Splice Machine

System Properties Comparison JaguarDB vs. MariaDB vs. MongoDB vs. Snowflake vs. Splice Machine

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMariaDB  Xexclude from comparisonMongoDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsMySQL 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 infrastructureCloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Vector DBMS
Relational DBMSDocument storeRelational DBMSRelational 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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.jaguardb.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.mongodb.comwww.snowflake.comsplicemachine.com
Technical documentationwww.jaguardb.com/­support.htmlmariadb.com/­kb/­en/­librarywww.mongodb.com/­docs/­manualdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperDataJaguar, Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MongoDB, IncSnowflake Computing Inc.Splice Machine
Initial release20152009 infoFork of MySQL, which was first released in 1995200920142014
Current release3.3 July 202311.3.2, February 20246.0.7, June 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open 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.commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)yesno
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 languageC++ infothe server part. Clients available in other languagesC and C++C++Java
Server operating systemsLinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
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.yes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.noyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensionsRead-only SQL queries via the MongoDB Atlas SQL Interfaceyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoPL/SQL compatibility added with version 10.3JavaScriptuser defined functionsyes infoJava
Triggersnoyesyes infoin MongoDB Atlas onlyno infosimilar concept for controling cloud resourcesyes
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.yesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno infotypically not used, however similar functionality with DBRef possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2noyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
JaguarDBMariaDBMongoDBSnowflakeSplice Machine
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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JaguarDBMariaDBMongoDBSnowflakeSplice Machine
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