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DBMS > Drizzle vs. Kinetica vs. OmniSci vs. Raima Database Manager vs. TerarkDB

System Properties Comparison Drizzle vs. Kinetica vs. OmniSci vs. Raima Database Manager vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  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.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsRDBMS with a small footprint, either embedded into an application or used as a database serverA 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 DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#192  Overall
#96  Relational DBMS
Score1.24
Rank#153  Overall
#75  Relational DBMS
Score0.52
Rank#233  Overall
#113  Relational DBMS
Score0.05
Rank#321  Overall
#50  Key-value stores
Websitewww.kinetica.comwww.omnisci.comraima.comgithub.com/­Terark/­terarkdb
Technical documentationwww.kinetica.com/­docsdocs.omnisci.comdocs.raima.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.Raima Inc.Terark
Initial release20082012201619842016
Current release7.2.4, September 20126.05.5, January 202114.1
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial 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++ and CUDACC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Objective-C
PL/SQL
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardnono
More information provided by the system vendor
DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Raima Database Manager infoformerly named db_VistaTerarkDB
News

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions for the IoT Edge Industry
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

Raima and MontaVista announce strategic partnership
14 May 2020

Intelligence of Things with Raima at MWC Barcelona and Embedded World 2020
11 February 2020

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More resources
DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Raima Database Manager infoformerly named db_VistaTerarkDB
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Recent citations in the news

GPU Database Market Analysis, Geographical Segmentation, Drivers, Challenges, Trends and Forecast| Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
7 April 2021, SoccerNurds

GPU Database Market- increasing demand with Industry Professionals: Kinetica, Omnisci, Sqream, Neo4j, Nvidia etc. – The Bisouv Network
7 April 2021, The Bisouv Network

GPU Database Market Recent Trends and Developments By 2028: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, etc. – SoccerNurds
10 April 2021, SoccerNurds

GPU Database Market 2021 Is Rapidly Increasing Worldwide in Near Future | Top Companies Analysis- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. – SoccerNurds
9 April 2021, SoccerNurds

GPU Database Market : Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda etc.
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OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
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GPU Database Market- increasing demand with Industry Professionals: Kinetica, Omnisci, Sqream, Neo4j, Nvidia etc. – The Bisouv Network
7 April 2021, The Bisouv Network

GPU Database Market Recent Trends and Developments By 2028: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, etc. – SoccerNurds
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GPU Database Market : Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda etc.
6 April 2021, The Bisouv Network

GPU Database Market Analysis, Geographical Segmentation, Drivers, Challenges, Trends and Forecast| Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
7 April 2021, SoccerNurds

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