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DBMS > CrateDB vs. Grakn vs. GraphDB vs. Graphite

System Properties Comparison CrateDB vs. Grakn vs. GraphDB vs. Graphite

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelRelational DBMS
Search engine
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#180  Overall
#90  Relational DBMS
#12  Search engines
Score0.59
Rank#199  Overall
#16  Graph DBMS
#97  Relational DBMS
Score1.25
Rank#140  Overall
#9  Graph DBMS
#5  RDF stores
Score3.63
Rank#83  Overall
#4  Time Series DBMS
Websitecrate.iograkn.aigraphdb.ontotext.comgithub.com/­graphite-project/­graphite-web
Technical documentationcrate.io/­docsdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationgraphite.readthedocs.io
DeveloperCrateGrakn LabsOntotextChris Davis
Initial release2013201620002006
Current release1.7.2, June 20208.8, January 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaPython
Server operating systemsAll OS with a Java 7 VMLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Unix
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nononono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLyes, but no triggers and constraintsnoSPARQL is used as query languageno
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
console (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Sockets
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoJava Server Pluginno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replication infoby using CassandraMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolocking
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.nono
User concepts infoAccess controlrights management via user accountsyes infoat REST API level; other APIs in progressyesno
More information provided by the system vendor
CrateDBGraknGraphDB infoformer name: OWLIMGraphite
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

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Comparing Graql to SQL — Part 1/2
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18 May 2020

Knowledge Graph Conference 2020 Recap: Knowledge Graphs Are Getting Into the Limelight
15 May 2020

Return of the Jedi: Ontotext Platform Metamorphosis
21 April 2020

GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs
15 April 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CrateDBGraknGraphDB infoformer name: OWLIMGraphite
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GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
Webinar, 5 pm CEST / 12 pm EDT / 6 pm EEST, 14 May 2020 (finished)

Recent citations in the news

Crate.io Releases CrateDB 4.1 – the Database Built to Support IoT and IIoT Businesses
5 February 2020, GlobeNewswire

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

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Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
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4 June 2020, Business Wire

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