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DBMS > AnzoGraph DB vs. GraphDB vs. Microsoft SQL Server

System Properties Comparison AnzoGraph DB vs. GraphDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-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.Microsofts flagship relational DBMS
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score829.80
Rank#3  Overall
#3  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.ontotext.comwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgraphdb.ontotext.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-server
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperCambridge SemanticsOntotextMicrosoft
Initial release201820001989
Current release2.3, January 202110.4, October 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC++
Java
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregateswell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesDefault 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.fine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBGraphDB infoformer name: OWLIMMicrosoft SQL Server
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AnzoGraph DBGraphDB infoformer name: OWLIMMicrosoft SQL Server
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