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DBMS > GraphDB vs. HarperDB vs. InterSystems IRIS vs. Riak KV vs. SQream DB

System Properties Comparison GraphDB vs. HarperDB vs. InterSystems IRIS vs. Riak KV vs. SQream DB

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRiak KV  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionEnterprise-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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityDistributed, fault tolerant key-value storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Document storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational 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
Score0.60
Rank#244  Overall
#38  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.ontotext.comwww.harperdb.iowww.intersystems.com/­products/­intersystems-irissqream.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.harperdb.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.sqream.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextHarperDBInterSystemsOpenSource, formerly Basho TechnologiesSQream Technologies
Initial release20002017201820092017
Current release10.4, October 20233.1, August 20212023.3, June 20233.2.0, December 20222022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree community edition availablecommercialOpen Source infoApache version 2, commercial enterprise editioncommercial
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 languageJavaNode.jsErlangC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Linux
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesdynamic schemadepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesnoyes, ANSI Standard SQL Types
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 indexesyesyesrestrictedno
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like data manipulation statementsyesnoyes
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.Net
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityCustom Functions infosince release 3.1yesErlanguser defined functions in Python
Triggersnonoyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterShardingSharding infono "single point of failure"horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedSource-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlDefault 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.Access rights for users and rolesyesyes, using Riak Security
More information provided by the system vendor
GraphDB infoformer name: OWLIMHarperDBInterSystems IRISRiak KVSQream DB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» 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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GraphDB infoformer name: OWLIMHarperDBInterSystems IRISRiak KVSQream DB
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