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DBMS > GraphDB vs. Neo4j vs. Stardog vs. TimescaleDB

System Properties Comparison GraphDB vs. Neo4j vs. Stardog vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen source graph databaseSemantic graph DBMS, developed in JavaA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
RDF store
Graph DBMSGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.09
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score49.56
Rank#22  Overall
#1  Graph DBMS
Score0.72
Rank#178  Overall
#13  Graph DBMS
#7  RDF stores
Score1.11
Rank#136  Overall
#8  Time Series DBMS
Websitegraphdb.ontotext.comneo4j.comwww.stardog.comwww.timescale.com
Technical documentationgraphdb.ontotext.com/­documentationneo4j.com/­docswww.stardog.com/­docsdocs.timescale.com
DeveloperOntotextNeo4j, Inc.Complexible Inc.Timescale
Initial release2000200720102017
Current release8.8, January 20193.5.4, April 20194.2.4, March 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version3, commercial licenses availablecommercial infoLimited community edition freeOpen Source infoApache 2.0
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.
Implementation languageJavaJava, ScalaJavaC
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema supportschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.nono infoImport/export of XML data possibleyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSPARQL is used as query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Server Pluginyes infoUser defined Procedures and Functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia event handleryes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster infousing Apache ZooKeeperMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoRelationships in graphsyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMNeo4jStardogTimescaleDB
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more
News

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Semantic Search for Smart Data Discovery in the Pharma Industry
17 May 2019

Data, Databases and Deeds: A SPARQL Query to the Rescue
26 April 2019

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova
5 April 2019

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
GraphDB infoformer name: OWLIMNeo4jStardogTimescaleDB
DB-Engines blog posts

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Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, PRNewswire

Ontotext's GraphDB 8.10 improves knowledge graph experience
12 June 2019, KMWorld Magazine

Ontotext Offers Its 11th Designing a Semantic Technology PoC Live Online Training
12 June 2019, Yahoo Finance

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

Global NoSQL Market 2019 – Oracle, MarkLogic, MongoDB, Couchbase, Database, Basho, Aerospike, Neo4j
20 June 2019, Industry News Focus

Massive Growth of GPU Database Market By Top Key Players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
20 June 2019, News Tech Markets

Expect graph database use cases for the enterprise to take off
29 May 2019, TechTarget

This Entrepreneur Went From Having $2,000 Left In The Bank To Building A Billion Dollar Business
28 May 2019, Forbes

Neo4j raises $80 million for next-generation graph databases
1 November 2018, VentureBeat

provided by Google News

Introducing Timescale Cloud: The First Fully-Managed, Multi-Cloud Time-Series Database Service
18 June 2019, Odessa American

Timescale's on-demand and managed cloud service simplifies working with time-series and IoT data
20 June 2019, Help Net Security

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

Timescale and Microsoft Azure Join Forces to Power IoT and Time-Series Workloads
18 March 2019, Business Wire

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