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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
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Score17.19
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 release6.0V4v2.4.0, November 2018
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 + AI Summit
San Francisco, California, 23-25 April 2019

Recent citations in the news

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

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

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

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

New Data Science Platforms Highlight Nvidia's GPU Conference
25 March 2019, eWeek

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

Graphics Processing Unit Database Market Growing Demand and Trends 2019 to 2028
11 April 2019, The Smart CMS

provided by Google News

Top 10 Books For Learning Apache Spark
29 March 2019, Analytics India Magazine

Apache Spark Is Great, But It's Not Perfect
3 April 2019, Datanami

Using Spark and Jenkins to Deploy Code into Hadoop Clusters
26 March 2019, DevOps.com

How Databricks Keeps Data Quality High with Delta
8 April 2019, Datanami

Simplilearn Big Data Hadoop Review
29 March 2019, PCQuest

provided by Google News

Job opportunities

Sr. Solutions Engineer (West Coast)
Kinetica DB, Seattle, WA

Community Developer Advocate
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Washington, DC

Support Engineer (San Francisco/Bay Area)
OmniSci, San Jose, CA

Support Engineer (San Francisco/Bay Area)
OmniSci, San Francisco, CA

Senior Software Development Engineer - Distributed Database Engine - Spark Platform (Spark + AI Summit)
Workday, San Mateo, CA

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GEICO, Chevy Chase, MD

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eHealth, Santa Clara, CA

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