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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
Score0.39
Rank#218  Overall
#38  Key-value stores
#106  Relational DBMS
Score0.56
Rank#195  Overall
#97  Relational DBMS
Score2.56
Rank#98  Overall
#50  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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

Revolutionizing Edge-controlled Database Activities with New Data Management Solutions
19 June 2019, CIOReview

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, PRNewswire

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

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

provided by Google News

Kinetica Brings on Strategic Asia-Pacific Leadership in Response to Strong Market Demand
25 June 2019, Yahoo Finance

Kinetica Appoints Stuart Fisher as President of Asia Pacific
28 June 2019, MarTech Advisor

Sales Revenue in the Global GPU Database Market to Register a Stellar CAGR During 2026
17 July 2019, Financial Planning

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

provided by Google News

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

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

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

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

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

provided by Google News

Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

jobs by Indeed




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