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DBMS > KairosDB vs. Kinetica vs. OmniSci

System Properties Comparison KairosDB vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionDistributed Time Series DBMS based on Cassandra or H2GPU-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 modelTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#186  Overall
#9  Time Series DBMS
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitegithub.com/­kairosdb/­kairosdbwww.kinetica.comwww.omnisci.com
Technical documentationkairosdb.github.iowww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperKineticaMapD Technologies, Inc.
Initial release201320122016
Current release6.0V4
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++ and CUDA
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeyesyes
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlsimple password-based access controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
KairosDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Job opportunities

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