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DBMS > GraphDB vs. Kinetica vs. OmniSci

System Properties Comparison GraphDB vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#153  Overall
#10  Graph DBMS
#5  RDF stores
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitegraphdb.ontotext.comwww.kinetica.comwww.omnisci.com
Technical documentationgraphdb.ontotext.com/­documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperOntotextKineticaMapD Technologies, Inc.
Initial release200020122016
Current release8.8, January 20196.0V4
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++ and CUDA
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
Data schemeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
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 DML and DDL statementsyes
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJava Server Pluginuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» 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 open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual,...
» more
News

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

Semantic Technology and the Way We See the World
15 March 2019

Telling Stories with an RDF Database
22 February 2019

Scientific Literature Monitoring for Drug Safety Signals
8 February 2019

Ontotext Platform: A Global View Across Knowledge Graphs and Content Annotations
25 January 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: OWLIMKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

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

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

Ontotext's GraphDB 8.7 Offers Vector-Based Concept Matching and Better Scalability, Performance and Data Governance
9 October 2018, PR Newswire

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

Graph databases and RDF: It's a family affair
19 May 2017, ZDNet

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

GPU Database Market 2016 Global Trend, Segmentation and Opportunities, Forecast 2024
14 April 2019, marketresearchnews.us

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

New Data Science Platforms Highlight Nvidia's GPU Conference
25 March 2019, eWeek

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Graphics Processing Unit Database Market Growing Demand and Trends 2019 to 2028
11 April 2019, The Smart CMS

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

provided by Google News

Job opportunities

Sr. Solutions Engineer (West Coast)
Kinetica DB, Seattle, WA

Community Developer Advocate
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Washington, DC

Support Engineer (San Francisco/Bay Area)
OmniSci, San Jose, CA

Support Engineer (San Francisco/Bay Area)
OmniSci, San Francisco, CA

jobs by Indeed




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