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

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

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFully 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 DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#202  Overall
#97  Relational DBMS
Score0.04
Rank#329  Overall
#142  Relational DBMS
Score0.01
Rank#347  Overall
#35  Time Series DBMS
Score0.02
Rank#337  Overall
#34  Time Series DBMS
Websitewww.kinetica.comwww.sadasengine.comsiridb.netsitewhere.io
Technical documentationwww.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 release2012200620172010
Current release7.1, August 20218.0
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoMIT LicenseOpen 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 languageC, C++C++CJava
Server operating systemsLinuxAIX
Linux
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyes 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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
HTTP APIHTTP REST
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlAccess 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
KineticaSadas 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
KineticaSadas EngineSiriDBSiteWhere
Recent citations in the news

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

GPU Database Market is Going to Boom: Major Giants | Kinetica, OmniSci, SQream, Neo4j – Industrial IT
14 January 2022, Industrial IT

The Global GPU Database Market is expected to grow by $ 361.56 mn during 2021-2025, progressing at a CAGR of 17.82% during the forecast period
21 December 2021, Yahoo Finance

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

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21 December 2021, Yahoo Finance

provided by Google News

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