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DBMS > Kinetica vs. LeanXcale vs. OmniSci

System Properties Comparison Kinetica vs. LeanXcale vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsFull ACID, highly scalable DBMS for OLTP and OLAP applications with transactions on distributed dataA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score0.12
Rank#272  Overall
#46  Key-value stores
#126  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websitewww.kinetica.comwww.leanxcale.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperKineticaLeanXcaleMapD Technologies, Inc.
Initial release201220152016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
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 CUDA
Server operating systemsLinuxLinux
Data schemeyesyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbyyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
proprietary key/value interface
JDBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
KineticaLeanXcaleOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

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

Kinetica Appoints Elizabeth McGlauflin as Chief Customer Success Officer
6 June 2019, MarTech Advisor

Kinetica Hires New Chief Customer Success Officer in Response to Triple Digit Growth Across Global Install-Base and Adoption by Major Global 2000 Brands
5 June 2019, Business Wire

GPU Database Market analysis by Service Type, by Vertical
19 June 2019, Market Mirror

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
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15 May 2019, thewirenewsnow.com

Hunting For Disruption At Collision Conference
29 April 2016, Forbes

Big Data in the Insurance Industry - Outlook to 2030: CAGR of 14% is Expected Over the Next 3 Years
7 August 2018, PR Newswire

Big Data in the Financial Services Industry Report 2018-2030 - $9 Billion Opportunities, Challenges, Strategies & Forecasts
3 October 2018, GlobeNewswire

Big Data Investments in the Financial Services Industry Will Account for Nearly $9 Billion in 2018 Alone
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OmniSci enters EMEA market to push high-speed cloud analytics
31 May 2019, Data Economy

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

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

2019 Report: Graphics Processing Unit Database Market by Top Players Analysis – Zilliz, Brytlyt, Jedox AG – News Category
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