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DBMS > Kinetica vs. Memcached vs. OmniSci

System Properties Comparison Kinetica vs. Memcached vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsIn-memory key-value store, originally intended for cachingA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score28.73
Rank#25  Overall
#3  Key-value stores
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitewww.kinetica.comwww.memcached.orgwww.omnisci.com
Technical documentationwww.kinetica.com/­docsgithub.com/­memcached/­memcached/­wikiwww.omnisci.com/­docs/­latest
DeveloperKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMapD Technologies, Inc.
Initial release201220032016
Current release6.01.5.12, November 2018V4
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen 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 languageC, C++CC++ and CUDA
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Proprietary protocolThrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone infoRepcached, a Memcached patch, provides this functionallityMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
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 persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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More resources
KineticaMemcachedOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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