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DBMS > Kinetica vs. OmniSci vs. Spark SQL

System Properties Comparison Kinetica vs. OmniSci vs. Spark SQL

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#195  Overall
#97  Relational DBMS
Score2.56
Rank#98  Overall
#50  Relational DBMS
Score16.76
Rank#35  Overall
#21  Relational DBMS
Websitewww.kinetica.comwww.omnisci.comspark.apache.org/­sql
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKineticaMapD Technologies, Inc.Apache Software Foundation
Initial release201220162014
Current release6.0V4v2.4.3, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++ and CUDAScala
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
KineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Spark SQL
Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

Kinetica Brings on Strategic Asia-Pacific Leadership in Response to Strong Market Demand
25 June 2019, Yahoo Finance

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

Kinetica Appoints Stuart Fisher as President of Asia Pacific
28 June 2019, MarTech Advisor

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

GPU Database Market Analysis, Cost, Production Value, Price, Gross Margin, Competition Forecast to 2023
15 July 2019, The Market Plan

provided by Google News

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Global GPU Database Market 2019 Top key Players - Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph
18 June 2019, World Capital News

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

provided by Google News

Have Your Say On .NET For Spark
5 July 2019, iProgrammer

A Decade Later, Apache Spark Still Going Strong
8 March 2019, Datanami

Delta Lake gives Apache Spark data sets new powers
24 April 2019, InfoWorld

High-performance data processing technology through a new database partitioning method
3 June 2019, EurekAlert

Real-Time Data Processing Using Redis Streams and Apache Spark Structured Streaming
13 May 2019, InfoQ.com

provided by Google News

Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Community Developer Advocate
OmniSci, Remote

Sales Director - Department of Defense
OmniSci, Washington, DC

Community Developer Advocate - INTERN (FALL 2019)
OmniSci, San Francisco, CA

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

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