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DBMS > Citus vs. Kinetica vs. Sadas Engine vs. SiriDB vs. SiteWhere

System Properties Comparison Citus vs. Kinetica vs. Sadas Engine vs. SiriDB vs. SiteWhere

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFully vectorized database across both GPUs and CPUsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen Source Time Series DBMSM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#139  Overall
#68  Relational DBMS
Score0.74
Rank#202  Overall
#99  Relational DBMS
Score0.01
Rank#351  Overall
#146  Relational DBMS
Score0.01
Rank#347  Overall
#34  Time Series DBMS
Score0.02
Rank#336  Overall
#32  Time Series DBMS
Websitewww.citusdata.comwww.kinetica.comwww.sadasengine.comsiridb.netsitewhere.io
Technical documentationdocs.citusdata.comwww.kinetica.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.netsitewhere.io/­docs/­2.1.0
DeveloperKineticaSADAS s.r.l.Transceptor TechnologySiteWhere
Initial release20102012200620172010
Current release8.1, December 20187.1, August 20218.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++C++CJava
Server operating systemsLinuxLinuxAIX
Linux
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes
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 functionalitynononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
HTTP APIHTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
CitusKineticaSadas EngineSiriDBSiteWhere
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
CitusKineticaSadas EngineSiriDBSiteWhere
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