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DBMS > c-treeEDGE vs. Kinetica vs. OmniSci

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

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Editorial information provided by DB-Engines
Namec-treeEDGE  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionDatabase built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.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
Score0.28
Rank#237  Overall
#43  Key-value stores
#112  Relational DBMS
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeedgewww.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 releaseV1, Juni 20186.0V4
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 systemsAndroid
Linux
Raspbian
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
IoT Microservice layer
MQTT (Message Queue Telemetry Transport)
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 infoCustomizable business rules for 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-treeEDGEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsThe c-treeEDGE IoT Database is a fast, flexible solution with a robust architecture...
» more
Competitive advantagesTop Features Micro footprint: As low as 37 MB IoT communication interfaces : MQTT,...
» more
Typical application scenariosc-treeEDGE can be deployed at or near the data collection point (sensors) and used...
» more
Key customersNew product
» more
Market metricsNew product
» more
Licensing and pricing modelsJust as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
» more

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

FairCom launches c-treeEDGE IoT database solution
19 June 2018, Business Insider

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26 September 2018, Markets Insider

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22 March 2019, PRNewswire

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23 April 2019, Global Market Research

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

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

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

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22 April 2019, The NBO News

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OmniSci Hires Laura Craig as Vice President of Sales, Americas
23 April 2019, PRNewswire

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

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23 April 2019, Global Market Research

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25 March 2019, eWeek

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