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DBMS > Drizzle vs. GraphDB vs. mSQL vs. OpenMLDB

System Properties Comparison Drizzle vs. GraphDB vs. mSQL vs. OpenMLDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOpenMLDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.mSQL (Mini SQL) is a simple and lightweight RDBMSAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.ontotext.comhughestech.com.au/­products/­msqlopenmldb.ai
Technical documentationgraphdb.ontotext.com/­documentationopenmldb.ai/­docs/­zh/­main
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDrizzle project, originally started by Brian AkerOntotextHughes Technologies4 Paradigm Inc.
Initial release2008200019942020
Current release7.2.4, September 201210.4, October 20234.4, October 20212024-2 February 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC++, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsJDBCGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesC
C++
Java
PHP
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilitynono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)noneImmediate Consistency
Foreign keys infoReferential integrityyesyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nofine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleGraphDB infoformer name: OWLIMmSQL infoMini SQLOpenMLDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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