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DBMS > GRAKN.AI vs. jBASE vs. Kinetica vs. OmniSci

System Properties Comparison GRAKN.AI vs. jBASE vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A 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
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Multivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score1.69
Rank#120  Overall
#3  Multivalue DBMS
Score0.60
Rank#193  Overall
#93  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitegrakn.aiwww.jbase.comwww.kinetica.comwww.omnisci.com
Technical documentationdev.grakn.ai/­docsdocs.jbase.comwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperGrakn Labs LtdZumasysKineticaMapD Technologies, Inc.
Initial release2016199120122016
Current release1.6.1, December 20195.76.0V4
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
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 systemsLinux
OS X
Windows
AIX
Linux
Windows
LinuxLinux
Data schemeyesschema-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 indexesyesyesno
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyesuser 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 nodesSharding infoby using CassandraShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandrayesMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyesno
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.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess 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
GRAKN.AIjBASEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
GRAKN.AIjBASEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

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

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

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 to Gain a Stronghold by 2026
10 December 2019, Statsflash

White paper: Inside Kinetica
6 December 2019, ITWeb

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

provided by Google News

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

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

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

GPU Database Market to Show Strong Growth (Kinetica, Omnisci, Sqream, Neo4j and many more..)
12 November 2019, VaporBlash

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

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jobs by Indeed




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