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DBMS > BoltDB vs. Kinetica vs. Memcached vs. OmniSci

System Properties Comparison BoltDB vs. Kinetica vs. Memcached vs. OmniSci

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionAn embedded key-value store for Go.GPU-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 modelKey-value storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#200  Overall
#34  Key-value stores
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score25.12
Rank#28  Overall
#4  Key-value stores
Score2.37
Rank#105  Overall
#51  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.kinetica.comwww.memcached.orgwww.omnisci.com
Technical documentationwww.kinetica.com/­docsgithub.com/­memcached/­memcached/­wikidocs.omnisci.com/­latest
DeveloperKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMapD Technologies, Inc.
Initial release2013201220032016
Current release6.01.5.12, November 2018V4
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSD licenseOpen 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 languageGoC, C++CC++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnoyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocolJDBC
ODBC
Thrift
Supported programming languagesGoC++
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 proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replicationnone infoRepcached, a Memcached patch, provides this functionallityMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
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 controlnoAccess 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
BoltDBKineticaMemcachedOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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