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DBMS > Kinetica vs. OmniSci vs. Teradata Aster

System Properties Comparison Kinetica vs. OmniSci vs. Teradata Aster

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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 comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitewww.kinetica.comwww.omnisci.comwww.teradata.com/­products-and-services/­teradata-analytics-platform
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperKineticaMapD Technologies, Inc.Teradata
Initial release201220162005
Current release6.0V4
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
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 systemsLinuxLinuxLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyes infoin Aster File Store
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoR packages
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 replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
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
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-standardfine grained access rights according to SQL-standard

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

GPU Database Market 2019 Precise Outlook – Anaconda, NVIDIA, Brytlyt, Neo4j, Blazegraph, Kinetica, Fuzzy Logix
17 October 2019, marketresearchjournals

The insideBIGDATA IMPACT 50 List for Q4 2019
15 October 2019, insideBIGDATA

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

provided by Google News

GPU Database Market (2019 To 2026) is booming worldwide with Kinetica, Omnisci, Sqream, Neo4j
18 October 2019, Weekly Spy

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

The insideBIGDATA IMPACT 50 List for Q4 2019
15 October 2019, insideBIGDATA

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

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

provided by Google News

An overview of the Teradata Aster Analytics platform
31 May 2017, TechTarget

Teradata Aster Analytics Going Places: On Hadoop and AWS
24 August 2016, PR Newswire

Teradata ports Aster analytics to Hadoop
30 August 2016, ZDNet

New Teradata CEO pursues cloud-based architecture
22 January 2019, TechTarget

Teradata Vantage: A Complete Solution for Analytics by Ron Powell
28 February 2019, B-EYE-Network

provided by Google News

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