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DBMS > IBM Db2 Event Store vs. Quasardb vs. Riak KV vs. SiteWhere

System Properties Comparison IBM Db2 Event Store vs. Quasardb vs. Riak KV vs. SiteWhere

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series data
Primary database modelEvent Store
Time Series DBMS
Time Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storequasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperIBMquasardbOpenSource, formerly Basho TechnologiesSiteWhere
Initial release2017200920092010
Current release2.03.14.1, January 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editionOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++ErlangJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionBSD
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeyesschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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 indexesnoyes infowith tagsrestrictedno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query languagenono
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIHTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replication with selectable replication factorselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes, using Riak SecurityUsers with fine-grained authorization concept

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IBM Db2 Event StoreQuasardbRiak KVSiteWhere
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