DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. GridDB vs. JaguarDB vs. Kinetica vs. OmniSci

System Properties Comparison Drizzle vs. GridDB vs. JaguarDB vs. Kinetica vs. OmniSci

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridDB  Xexclude from comparisonJaguarDB  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.Scalable in-memory time series database optimized for IoT and Big DataPerformant, highly scalable DBMS for AI and IoT applicationsGPU-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 DBMSTime Series DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#199  Overall
#11  Time Series DBMS
Score0.00
Rank#341  Overall
#61  Key-value stores
Score0.67
Rank#196  Overall
#96  Relational DBMS
Score2.20
Rank#117  Overall
#58  Relational DBMS
Websitegriddb.netwww.datajaguar.comwww.kinetica.comwww.omnisci.com
Technical documentationdocs.griddb.netwww.datajaguar.com/­support.phpwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperDrizzle project, originally started by Brian AkerToshiba CorporationDataJaguar, Inc.KineticaMapD Technologies, Inc.
Initial release20082013201520122016
Current release7.2.4, September 20124.5, June 20202.9.4 September 20186.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++ infothe server part. Clients available in other languagesC, C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinuxLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL92, SQL-like TQL (Toshiba Query Language)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCProprietary protocolJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
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 proceduresnononouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaserights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleGridDBJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
SQL support, group by, order by, join
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
IoT data, time series data, AI data. Any type of numerical data.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsGitHub trending repository
» more
Advertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Free-trial license, per-node license, and subscription license.
» more

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DrizzleGridDBJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

Trend-Setting Products in Data and Information Management for 2020
4 December 2019, Database Trends and Applications

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
5 August 2020, Owned

GPU Database Market Report Covering Products, Financial Information, Developments, SWOT Analysis And Strategies Employed By Global Top Companies | Nvidia, Kinetica DB, OmniSci ,Neo4j
3 August 2020, Reports Watch

GPU Database Market SWOT Analysis by Key Players: BlazingDB, Zilliz, SQream, Jedox, HeteroDB
7 August 2020, Chelanpress

Global GPU Database Market Will Accelerate At a Highest CAGR By 2025-Leading Companies Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt and more
29 July 2020, Owned

The insideBIGDATA IMPACT 50 List for Q3 2020
13 July 2020, insideBIGDATA

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
5 August 2020, Owned

GPU Database Market Report Covering Products, Financial Information, Developments, SWOT Analysis And Strategies Employed By Global Top Companies | Nvidia, Kinetica DB, OmniSci ,Neo4j
3 August 2020, Reports Watch

Global GPU Database Market Will Accelerate At a Highest CAGR By 2025-Leading Companies Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt and more
29 July 2020, Owned

GPU Database Market SWOT Analysis by Key Players: BlazingDB, Zilliz, SQream, Jedox, HeteroDB
7 August 2020, Chelanpress

Market Live: Global GPU Database Market Can Deliver up to High CAGR over the next Few Years | COVID19 Impact Analysis | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. | InForGrowth
29 July 2020, Bulletin Line

provided by Google News

Job opportunities

SVP, Product Management
Tru Optik Data Corp, Stamford, CT

jobs by Indeed




Share this page

Featured Products

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here