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DBMS > BoltDB vs. Drizzle vs. IBM Db2 Event Store vs. Kinetica vs. OmniSci

System Properties Comparison BoltDB vs. Drizzle vs. IBM Db2 Event Store vs. Kinetica vs. OmniSci

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 Event Store  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.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Distributed Event Store optimized for Internet of Things use casesGPU-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 storeRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#193  Overall
#32  Key-value stores
Score0.23
Rank#249  Overall
#2  Event Stores
#16  Time Series DBMS
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.ibm.biz/­eventstorewww.kinetica.comwww.omnisci.com
Technical documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerIBMKineticaMapD Technologies, Inc.
Initial release20132008201720122016
Current release7.2.4, September 20121.1.36.0V4
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercial infofree developer edition availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++, ScalaC, C++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinuxLinux
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 indexesnoyesnoyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesGoC
C++
Java
PHP
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
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
Active-active shard replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replicationyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUser level access controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
BoltDBDrizzleIBM Db2 Event StoreKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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