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DBMS > GRAKN.AI vs. Kinetica vs. OmniSci

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

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Editorial information provided by DB-Engines
NameGRAKN.AI  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.GPU-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.
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#269  Overall
#25  Graph DBMS
#124  Relational DBMS
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitegrakn.aiwww.kinetica.comwww.omnisci.com
Technical documentationdev.grakn.ai/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperGrakn Labs LtdKineticaMapD Technologies, Inc.
Initial release201620122016
Current release1.4.3, December 20186.0V4
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++ and CUDA
Server operating systemsLinux
OS X
Unix
Windows
LinuxLinux
Data schemeyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
Proprietary protocol infoGraql
RESTful HTTP API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesAll JVM based languages
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser 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 nodesSharding infoby using CassandraShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoon in-memory graph
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsGRAKN.AI makes working with complex data easy by providing: An ontology as a flexible...
» more
Competitive advantagesExpressive data model: Grakn allows you to model the real world. Logical integrity...
» more
Typical application scenariosSemantic Search: GRAKN.AI allows you to accurately understanding of a query's intent...
» more
Licensing and pricing modelsOpen Source (GPLv3) and Commercial. The commercial license will be priced based cluster...
» more

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More resources
GRAKN.AIKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

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

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

What Is an Ontology?
15 March 2017, DZone News

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11 July 2018, Cloud Pro

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

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24 April 2019, CryptoCoinsTribune

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

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

OmniSci Hires Laura Craig as Vice President of Sales, Americas
23 April 2019, PRNewswire

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

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

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11 April 2019, The Smart CMS

provided by Google News

Job opportunities

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

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

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

Community Developer Advocate - INTERN
OmniSci, San Francisco, CA

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

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

jobs by Indeed




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