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DBMS > BigchainDB vs. GraphDB vs. Microsoft SQL Server vs. RDF4J vs. Sequoiadb

System Properties Comparison BigchainDB vs. GraphDB vs. Microsoft SQL Server vs. RDF4J vs. Sequoiadb

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise-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 DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQL
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRDF storeDocument store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.bigchaindb.comwww.ontotext.comwww.microsoft.com/­en-us/­sql-serverrdf4j.orgwww.sequoiadb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestgraphdb.ontotext.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-serverrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release20162000198920042013
Current release10.4, October 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoSome plugins of GraphDB Workbench are open sourcedcommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaC++JavaC++
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesnoSQL-like query language
APIs and other access methodsCLI Client
RESTful HTTP API
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)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSON
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.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
Java
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavayesJavaScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyes, but depending on the SQL-Server EditionnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API usedDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesDefault 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-standardnosimple password-based access control
More information provided by the system vendor
BigchainDBGraphDB infoformer name: OWLIMMicrosoft SQL ServerRDF4J infoformerly known as SesameSequoiadb
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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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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