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

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Grakn 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 modelRelational DBMSGraph 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
Score0.21
Rank#255  Overall
#22  Graph DBMS
#120  Relational DBMS
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websitegrakn.aiwww.kinetica.comwww.omnisci.com
Technical documentationdev.grakn.ai/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerGrakn Labs LtdKineticaMapD Technologies, Inc.
Initial release2008201620122016
Current release7.2.4, September 20121.5, March 20196.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
LinuxLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCconsole (shell)
gRPC protocol
Workbase (visualisation software)
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using CassandraShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replication infoby using CassandraMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureyesno
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes 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
DrizzleGRAKN.AIKineticaOmniSci 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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DrizzleGRAKN.AIKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




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