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DBMS > c-treeACE vs. Kinetica vs. OmniSci

System Properties Comparison c-treeACE vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#204  Overall
#36  Key-value stores
#98  Relational DBMS
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.kinetica.comwww.omnisci.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperFairCom CorporationKineticaMapD Technologies, Inc.
Initial release197920122016
Current releaseV11.5, November 20176.0V4
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen 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 languageANSI C, C++C, C++C++ and CUDA
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes
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 indexesyesyesno
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like DML and DDL statementsyes
APIs and other access methodsDirect SQL
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
c-treeACEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

c-treeEDGE IoT Database V2 launches with new features and integrations
12 June 2019, PRNewswire

FairCom to feature #ctreeEDGE IoT Database at LiveWorx19
4 June 2019, Yahoo Finance

FairCom and Software AG sign new contract for c-treeACE Database
22 March 2019, PRNewswire

FairCom, Software AG Sign Contract for c-treeACE Database
25 March 2019, EnterpriseTalk

Verizon awards database contract to FairCom
26 September 2018, Markets Insider

provided by Google 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 to Witness a Pronounce Growth during 2017-2026
15 June 2019, Market Research Gazette

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

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

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OmniSci enters EMEA market to push high-speed cloud analytics
31 May 2019, Data Economy

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

GPU database Market to Witness a Pronounce Growth during 2017-2026
15 June 2019, Market Research Gazette

Salesforce buys big data firm Tableau for $15.7bn in its biggest ever acquisition
10 June 2019, Data Economy

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

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