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DBMS > IBM Db2 Event Store vs. Kinetica vs. RethinkDB vs. SQream DB vs. SwayDB

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

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonRethinkDB  Xexclude from comparisonSQream DB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionDistributed 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.a GPU-based, columnar RDBMS for big data analytics workloadsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelEvent Store
Time Series DBMS
Relational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
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
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storewww.kinetica.comrethinkdb.comsqream.comswaydb.simer.au
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comrethinkdb.com/­docsdocs.sqream.com
DeveloperIBMKineticaThe Linux Foundation infosince July 2017SQream TechnologiesSimer Plaha
Initial release20172012200920172018
Current release2.07.1, August 20212.4.1, August 20202022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2commercialOpen 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 languageC and C++C, C++C++C++, CUDA, Haskell, Java, ScalaScala
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
OS X
Windows
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes, ANSI Standard SQL Typesno
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 indexesnoyesyesnono
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsnoyesno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesC
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
C++
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions in Pythonno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basedhorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-document operationsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine 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
IBM Db2 Event StoreKineticaRethinkDBSQream DBSwayDB
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