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DBMS > GraphDB vs. Manticore Search vs. Oracle Coherence vs. Splice Machine vs. Stardog

System Properties Comparison GraphDB vs. Manticore Search vs. Oracle Coherence vs. Splice Machine vs. Stardog

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSplice Machine  Xexclude from comparisonStardog  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.Multi-storage database for search, including full-text search.Oracles in-memory data grid solutionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Search engineKey-value storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score0.23
Rank#301  Overall
#21  Search engines
Score1.90
Rank#127  Overall
#21  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.ontotext.commanticoresearch.comwww.oracle.com/­java/­coherencesplicemachine.comwww.stardog.com
Technical documentationgraphdb.ontotext.com/­documentationmanual.manticoresearch.comdocs.oracle.com/­en/­middleware/­standalone/­coherencesplicemachine.com/­how-it-worksdocs.stardog.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextManticore SoftwareOracleSplice MachineStardog-Union
Initial release20002017200720142010
Current release10.4, October 20236.0, February 202314.1, August 20233.1, March 20217.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version 2commercialOpen Source infoAGPL 3.0, commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageJavaC++JavaJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesFixed schemaschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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.noCan index from XMLnono infoImport/export of XML data possible
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infofull-text index on all search fieldsnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query languagenoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JCache
JPA
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functionsnoyes infoJavauser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infoLive Eventsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication based on Galera libraryyes, with selectable consistency levelMulti-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoConstraint checkingnonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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.noauthentification to access the cache via certificates or http basic authenticationAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
GraphDB infoformer name: OWLIMManticore SearchOracle CoherenceSplice MachineStardog
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
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

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30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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More resources
GraphDB infoformer name: OWLIMManticore SearchOracle CoherenceSplice MachineStardog
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