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DBMS > Kinetica vs. OmniSci vs. YugaByte DB

System Properties Comparison Kinetica vs. OmniSci vs. YugaByte DB

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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 comparisonYugaByte DB  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 GPUsDistributed, transactional, high performant database, wire compatible with Cassandra, Redis and (limited) PostgreSQL
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Wide column store
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
Score0.34
Rank#228  Overall
#30  Document stores
#41  Key-value stores
#11  Wide column stores
Websitewww.kinetica.comwww.omnisci.comwww.yugabyte.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestdocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperKineticaMapD Technologies, Inc.YugaByte
Initial release201220162017
Current release6.0V41.0, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0, 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 CUDAC++
Server operating systemsLinuxLinuxLinux
OS X
Data schemeyesyesdepending on used data model
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Cassandra (CQL) compatible API
PostgreSQL compatible API infostill in beta
Redis compatible API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript (Node.js)
Python
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 robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationselectable replication factor
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 consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
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 2018YugaByte DB
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

YugaByte’s new database software rakes in $16 million so developers can move to any cloud
12 June 2018, TechCrunch

YugaByte review: Planet-scale Cassandra and Redis
2 July 2018, InfoWorld

YugaByte DB Reaches 1.0 with Customers in Production
2 May 2018, Business Wire

YugaByte Launches From Stealth with $8M In Series A Funding
2 November 2017, PR Newswire

YugaByte DB goes 'planet-scale', next stop intergalactic data - CW Developer Network
1 May 2018, ComputerWeekly.com

provided by Google News

Job opportunities

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

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

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

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

Community Developer Advocate - INTERN
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