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DBMS > Drizzle vs. JaguarDB vs. Kinetica vs. OmniSci vs. Splice Machine

System Properties Comparison Drizzle vs. JaguarDB vs. Kinetica vs. OmniSci vs. Splice Machine

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSplice Machine  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.Performant, 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 GPUsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.76
Rank#185  Overall
#93  Relational DBMS
Websitewww.datajaguar.comwww.kinetica.comwww.omnisci.comsplicemachine.com
Technical documentationwww.datajaguar.com/­support.phpwww.kinetica.com/­docsdocs.omnisci.com/­latestdoc.splicemachine.com
DeveloperDrizzle project, originally started by Brian AkerDataJaguar, Inc.KineticaMapD Technologies, Inc.Splice Machine
Initial release20082015201220162014
Current release7.2.4, September 20122.9.4 September 20186.0V42.0
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL 3.0, commercial license 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++ infothe server part. Clients available in other languagesC, C++C++ and CUDAJava
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functionsnoyes infoJava
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoRound robinShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DrizzleJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
Specific characteristicsSQL support, group by, order by, join
» more
Splice Machine is the open-source dual-engine RDBMS, powered by Hadoop and Spark....
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more

» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Machine Learning, High Volume Financial Transaction processing, Internet of Things...
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more
Free Open Source as well as Enterprise model available. See http://www.splicemachine.com/product/pricing...
» more
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