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DBMS > GraphDB vs. jBASE vs. Kinetica vs. OmniSci

System Properties Comparison GraphDB vs. jBASE vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonjBASE  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 supportA robust multi-value DBMS comprising development tools and middlewareGPU-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
Multivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#138  Overall
#8  Graph DBMS
#5  RDF stores
Score1.69
Rank#120  Overall
#3  Multivalue DBMS
Score0.60
Rank#193  Overall
#93  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitegraphdb.ontotext.comwww.jbase.comwww.kinetica.comwww.omnisci.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.jbase.comwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperOntotextZumasysKineticaMapD Technologies, Inc.
Initial release2000199120122016
Current release8.8, January 20195.76.0V4
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen 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.nonono
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
AIX
Linux
Windows
LinuxLinux
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnono
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 languageEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJava Server Pluginyesuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationyesMaster-slave replicationMaster-master replication
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)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesAccess rights can be defined down to the item levelAccess 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: OWLIMjBASEKineticaOmniSci 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

A New Hope: The Rise of the Knowledge Graph
7 November 2019

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

Semantic Technology and the Strive for Drug Safety
21 October 2019

Artificial Intelligence and the Knowledge Graph
10 October 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: OWLIMjBASEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Conferences and events

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019

Finished events

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Recent citations in the news

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

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

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

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

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

provided by Google News

Zumasys Acquires jBASE Database
5 January 2015, Business Wire

Zumasys, Inc
5 March 2019, International Spectrum Magazine

Vultar Releases JDBC Drivers for jBASE
3 April 2019, International Spectrum Magazine

Temenos sells non-banking part of jBase to Zumasys
15 February 2016, IBS Intelligence

provided by Google News

The Kinetica Active Analytics Platform and RAPIDS Now Available on Oracle Cloud Infrastructure to Accelerate Predictive Data Analytics Performance
19 November 2019, Yahoo Finance

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

White paper: Inside Kinetica
6 December 2019, ITWeb

New Era of GPU Database Market to Undertake Strapping Growth at +20% CAGR by the End 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
15 November 2019, Market Expert

provided by Google News

OmniSci, Intel Join Forces to Produce Better CPU Analytics
2 December 2019, Toolbox

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

Inside OmniSci's Plans for Data Analytics Convergence
23 October 2019, Datanami

GPU Database Market Research Report 2019-2025 Global Industry Size by Key Companies- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix
29 November 2019, VaporBlash

provided by Google News

Job opportunities

Machine Learning Engineer
BAIN & COMPANY, Los Angeles, CA

Senior Data Engineer
General Dynamics Information Technology, Falls Church, VA

Principal Solutions Engineer (Federal)
Kinetica DB, Arlington, VA

Application Support Engineer (Eastern US)
OmniSci, Remote

Senior Database Engineer
OmniSci, San Francisco, CA

Lead Application Support Engineer (Bay Area preferred)
OmniSci, Remote

Software Engineer - Backend Team
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




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