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DBMS > AllegroGraph vs. GridDB vs. HugeGraph vs. MariaDB

System Properties Comparison AllegroGraph vs. GridDB vs. HugeGraph vs. MariaDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGridDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable in-memory time series database optimized for IoT and Big DataA fast-speed and highly-scalable Graph DBMSMySQL 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.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
Document store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Websiteallegrograph.comgriddb.netgithub.com/­hugegraph
hugegraph.apache.org
mariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.griddb.nethugegraph.apache.org/­docsmariadb.com/­kb/­en/­library
DeveloperFranz Inc.Toshiba CorporationBaiduMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release2004201320182009 infoFork of MySQL, which was first released in 1995
Current release8.0, December 20235.1, August 20220.911.3.2, February 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenononono
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.
Implementation languageC++JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Unix
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyes infoRDF schemasyesyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.no infobulk load of XML files possiblenonoyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSPARQL is used as query languageSQL92, SQL-like TQL (Toshiba Query Language)noyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoasynchronous Gremlin script jobsyes infoPL/SQL compatibility added with version 10.3
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseseveral options for horizontal partitioning and Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infowith MEMORY storage engine
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users can be defined per databaseUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphGridDBHugeGraphMariaDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
MariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
MariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Web, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsGitHub trending repository
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
MariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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