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DBMS > BoltDB vs. Drizzle vs. Kinetica vs. Machbase vs. OmniSci

System Properties Comparison BoltDB vs. Drizzle vs. Kinetica vs. Machbase vs. OmniSci

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMachbase infoFormer name was Infiniflux  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.
DescriptionAn embedded key-value store for Go.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 datasetsTimeSeries DBMS for IoT and BigDataA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#193  Overall
#32  Key-value stores
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score0.08
Rank#302  Overall
#25  Time Series DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.kinetica.comwww.machbase.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdoc.machbase.comwww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticaMachbaseMapD Technologies, Inc.
Initial release20132008201220132016
Current release7.2.4, September 20126.0V4.0V4
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialcommercial infofree test version availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C, C++CC++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxLinux
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
HTTP REST
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesGoC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
Master-slave replicationselectable replication factorMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
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 infovolatile and lookup tableyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelsimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBDrizzleKineticaMachbase infoFormer name was InfinifluxOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMachbase is an extremely fast time series database which processes large volumes...
» more
Competitive advantagesReal-time data processing Machbase processes (i.e. collecting, storing, indexing,...
» more
Typical application scenariosDistributed Query In Machbase Enterprise Edition, a broker node, which is responsible...
» more
Key customersSamsung, POSCO, Hyundai heavy industries, SFA
» more
Market metricsReal-time data processing Real-time index creation Optimized DBMS for processing...
» more
Licensing and pricing modelsMachbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

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BoltDBDrizzleKineticaMachbase infoFormer name was InfinifluxOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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