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DBMS > eXtremeDB vs. Grakn vs. GraphDB vs. JanusGraph vs. OmniSci

System Properties Comparison eXtremeDB vs. Grakn vs. GraphDB vs. JanusGraph vs. OmniSci

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGrakn 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 supportA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMS
Time Series DBMS
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
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#228  Overall
#108  Relational DBMS
#13  Time Series DBMS
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score1.16
Rank#139  Overall
#8  Graph DBMS
#5  RDF stores
Score1.78
Rank#120  Overall
#7  Graph DBMS
Score1.86
Rank#117  Overall
#56  Relational DBMS
Websitewww.mcobject.com/­extremedbfamilygrakn.aigraphdb.ontotext.comjanusgraph.orgwww.omnisci.com
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgdocs.omnisci.com/­latest
DeveloperMcObjectGrakn LabsOntotextLinux Foundation; originally developed as Titan by AureliusMapD Technologies, Inc.
Initial release20012016200020172016
Current release8.1, November 20191.6.2, January 20208.8, January 20190.5.0, March 2020V4
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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eXtremeDB on AWS: High performance DBMS for HPC and Capital Market computing
Implementation languageC and C++JavaJavaJavaC++ and CUDA
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infosupport of XML interfaces availablenononono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoSPARQL is used as query languagenoyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesnoJava Server Pluginyesno
Triggersyes infoby defining eventsnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Master-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
Master-master replication infoby using CassandraMaster-master replicationyesMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBGraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» 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 advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» 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 scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» 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 customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
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GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» 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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6 February 2020

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
23 January 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
eXtremeDBGraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Conferences and events

GraphDB 9.1: Knowledge Graphs with Data Provenance
Webinar, 2 March 2020 (finished)

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

Recent citations in the news

eXtremeDB 8.1 adds features for easier, more sophisticated database management
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eXtremeDB shortlisted in 4 different best DBMS categories in 1 week
8 October 2019, IoT For All

eXtremeDB shortlisted for two Data Management Insight Awards
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McObject's eXtremeDB for HPC is Now Available on AWS
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eXtremeDB 8.1 Adds Features for Database Management
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15 Machine Learning Companies To Watch In Europe
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Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

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16 December 2019, PRNewswire

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What & why: Graph machine learning in distributed systems
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13 January 2017, Datanami

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

The year of the graph: Getting graphic, going native, reshaping the landscape
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Benchmarking Graph Analytics Systems: TigerGraph, Neo4j, Neptune, JanusGraph, and ArangoDB
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GPU Database Market to Witness Huge Growth by 2027 | Kinetica DB , Neo4j, OmniSci, SQream Technologies
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OmniSci 'Hitting Its Stride,' CEO Says
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Inside OmniSci's Plans for Data Analytics Convergence
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Review: OmniSci GPU database lifts huge data sets
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Graphics Processing Unit Database Market 2020- Top Key Players: Zilliz, Brytlyt, Jedox AG, OmniSci Inc, HeteroDB Inc, Anaconda Inc
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