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DBMS > Citus vs. FeatureBase vs. Riak KV vs. SiteWhere

System Properties Comparison Citus vs. FeatureBase vs. Riak KV vs. SiteWhere

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFeatureBase  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Distributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.citusdata.comwww.featurebase.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.citusdata.comdocs.featurebase.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperMolecula and Pilosa Open Source ContributorsOpenSource, formerly Basho TechnologiesSiteWhere
Initial release2010201720092010
Current release8.1, December 20182022, May 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoErlangJava
Server operating systemsLinuxLinux
macOS
Linux
OS X
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnorestrictedno
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL queriesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JDBC
Kafka Connector
ODBC
HTTP API
Native Erlang Interface
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Erlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
CitusFeatureBaseRiak KVSiteWhere
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