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DBMS > c-treeEDGE vs. Drizzle vs. Kinetica vs. OmniSci

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

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Editorial information provided by DB-Engines
Namec-treeEDGE  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatabase built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#217  Overall
#37  Key-value stores
#103  Relational DBMS
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  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 CorporationDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.
Initial release1979200820122016
Current releaseV1, Juni 20187.2.4, September 20126.0V4
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
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++C++ and CUDA
Server operating systemsAndroid
Linux
Raspbian
Windows infoeasily portable to other OSs
FreeBSD
Linux
OS X
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infoANSI SQL queriesyes infowith proprietary extensionsSQL-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
JDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nouser defined functionsno
Triggersyesno infohooks for callbacks inside the server can be used.yes 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 partitioningShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 SQLyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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.Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
c-treeEDGEDrizzleKineticaOmniSci 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-treeEDGEDrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

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

FairCom to feature #ctreeEDGE IoT Database at LiveWorx19
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Job opportunities

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

Senior Backend Test Engineer
OmniSci, San Francisco, CA

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jobs by Indeed




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