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DBMS > GraphDB vs. RavenDB vs. STSdb vs. ToroDB

System Properties Comparison GraphDB vs. RavenDB vs. STSdb vs. ToroDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonRavenDB  Xexclude from comparisonSTSdb  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Document storeKey-value storeDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#124  Overall
#8  Graph DBMS
#5  RDF stores
Score4.05
Rank#83  Overall
#13  Document stores
Score0.08
Rank#310  Overall
#51  Key-value stores
Score0.07
Rank#322  Overall
#44  Document stores
Websitegraphdb.ontotext.comravendb.netgithub.com/­STSSoft/­STSdb4www.torodb.com
Technical documentationgraphdb.ontotext.com/­documentationravendb.net/­docswww.torodb.com/­stampede/­docs
DeveloperOntotextHibernating RhinosSTS Soft SC8Kdata
Initial release2000201020112016
Current release8.8, January 20195.1, November 20204.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. HIPPA compliant. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageJavaC#C#Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
WindowsAll OS with a Java 7 VM
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes infoprimitive types and user defined types (classes)yes infostring, integer, double, boolean, date, object_id
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.nono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (RQL)no
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
.NET Client API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresJava Server Pluginyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlyesAccess control on document level using the Authorization BundlenoAccess rights for users and roles
More information provided by the system vendor
GraphDB infoformer name: OWLIMRavenDBSTSdbToroDB
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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More resources
GraphDB infoformer name: OWLIMRavenDBSTSdbToroDB
Conferences and events

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

From Strings to Things with the GraphDB 9.4 Mapping UI
Webinar, 5pm CEST / 11am EDT / 8am PDT, 6 October 2020 (finished)

Knowledge Graphs for Enterprise Data Management
Webinar, 4pm GMT, 8am PST, 5pm CET, 5 November 2020 (finished)

Recent citations in the news

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

Ontotext and Synaptica join forces with a shared product roadmap to speed up the development of Enterprise Knowledge Graphs.
16 November 2020, PRNewswire

Ontotext Platform 3.3 Streamlines the Building of Knowledge Graph Lenses and GraphQL Interfaces
23 November 2020, EnterpriseTalk

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

provided by Google News

RavenDB 5 Improves Distributed Time-Series, Document Compression, and Indexing
3 August 2020, InfoQ.com

Interview with RavenDB Founder Oren Eini
31 August 2020, InfoQ.com

How to install the RavenDB NoSQL database on Ubuntu 20.04
20 October 2020, TechRepublic

NoSQL Market 2020 Consumption Analysis, Business Opportunities, Key Manufacturers – IBM Cloudant, Microsoft, Basho Technologies, DataStax, MapR Technologies, Couchbase, CloudDB, Amazon Web Services, Redis, SAP, RavenDB, MongoDB, Aerospike, Neo4j, Google, MarkLogic, Oracle, AranogoDB, MarkLogic, Apache, MongoLab
26 November 2020, The Market Feed

Review: NoSQL database RavenDB
20 March 2019, TechGenix

provided by Google News

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