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

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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTerarkDB  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 DataGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.98
Rank#173  Overall
#10  Time Series DBMS
Score0.77
Rank#192  Overall
#96  Relational DBMS
Score1.24
Rank#153  Overall
#75  Relational DBMS
Score0.05
Rank#321  Overall
#50  Key-value stores
Websitegriddb.netwww.kinetica.comwww.omnisci.comgithub.com/­Terark/­terarkdb
Technical documentationdocs.griddb.netwww.kinetica.com/­docsdocs.omnisci.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerToshiba CorporationKineticaMapD Technologies, Inc.Terark
Initial release20082013201220162016
Current release7.2.4, September 20124.5, June 20206.05.5, January 2021
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 availablecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted open source version 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, C++C++ and CUDAC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesno
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 indexesyesyesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCProprietary protocolJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.yesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationMulti-source replicationnone
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 containersImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
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.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaseAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno
More information provided by the system vendor
DrizzleGridDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TerarkDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» 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
DrizzleGridDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TerarkDB
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

Toshiba's Innovative GridDB NoSQL Database Affords Unlimited IoT Possibilities
24 April 2017, Business Wire

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

provided by Google News

GPU Database Market Is Thriving Worldwide with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt – Clark County Blog
20 April 2021, Clark County Blog

GPU Database Market to See Strong Growth Momentum | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
18 April 2021, NeighborWebSJ

GPU Database Market Value Predicted To Reach US$ XX Billion By 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
17 April 2021, NeighborWebSJ

GPU Database Market 2021 Industry Size, Share, Growth and Top Companies Analysis- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. – NeighborWebSJ
20 April 2021, NeighborWebSJ

GPU Database Market Size 2021, by Leading Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda – SoccerNurds
19 April 2021, SoccerNurds

provided by Google News

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

OmniSci announces multiple opportunities to accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16 – Geospatial World
7 April 2021, Geospatial World

GPU Database Market Is Thriving Worldwide with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt – Clark County Blog
20 April 2021, Clark County Blog

GPU Database Market to See Strong Growth Momentum | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
18 April 2021, NeighborWebSJ

GPU Database Market Size 2021, by Leading Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda – SoccerNurds
19 April 2021, SoccerNurds

provided by Google News

ByteDance eyes big data push with Terark acquisition EJINSIGHT
30 April 2019, EJ Insight

A Chinese company is making the cloud 200x faster
3 July 2017, TechNode

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

Job opportunities

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

Principal Engineer I - Managed Wireless, Analytics and Automation
Spectrum, Greenwood Village, CO

jobs by Indeed




Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Vertica logo

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

Couchbase logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

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

Present your product here