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DBMS > BoltDB vs. IBM Db2 Event Store vs. Kinetica vs. RethinkDB vs. SwayDB

System Properties Comparison BoltDB vs. IBM Db2 Event Store vs. Kinetica vs. RethinkDB vs. SwayDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonRethinkDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Distributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeEvent Store
Time Series DBMS
Relational DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitegithub.com/­boltdb/­boltwww.ibm.com/­products/­db2-event-storewww.kinetica.comrethinkdb.comswaydb.simer.au
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comrethinkdb.com/­docs
DeveloperIBMKineticaThe Linux Foundation infosince July 2017Simer Plaha
Initial release20132017201220092018
Current release2.07.1, August 20212.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C, C++C++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes infostring, binary, float, bool, date, geometryno
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.nonononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoAtomic single-document operationsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes infousers and table-level permissionsno

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More resources
BoltDBIBM Db2 Event StoreKineticaRethinkDBSwayDB
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