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DBMS > Kinetica vs. Splice Machine

System Properties Comparison Kinetica vs. Splice Machine

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Our visitors often compare Kinetica and Splice Machine with Snowflake, Spark SQL and HBase.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score0.68
Rank#179  Overall
#91  Relational DBMS
Websitewww.kinetica.comwww.splicemachine.com
Technical documentationwww.kinetica.com/­docsdoc.splicemachine.com
DeveloperKineticaJohn Leach
Initial release20122014
Current release6.02.0
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
JRuby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
KineticaSplice Machine
News

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5 August 2019

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More resources
KineticaSplice Machine
Recent citations in the news

Moving from passive to active analytics for data innovation: the use cases
15 October 2019, Information Age

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

Applying Active Analytics To Dynamic Replenishment
10 October 2019, Forbes

Global GPU Database Market – Industry Analysis and Forecast (2018-2026)
15 October 2019, Weekly Spy

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

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20 February 2019, PRNewswire

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3 May 2019, ZDNet

Splice Machine database travels full circle to predictive application platform
25 September 2017, ZDNet

Accenture partnership with Splice Machine sealed by investment
22 February 2019, TechTarget

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Job opportunities

Sr. Software Engineer (Computer Vision/Data Visualization)
Kinetica DB, Arlington, VA

Machine Learning Engineer
BAIN & COMPANY, Los Angeles, CA

jobs by Indeed




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