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DBMS > SiteWhere vs. Spark SQL vs. STSdb

System Properties Comparison SiteWhere vs. Spark SQL vs. STSdb

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NameSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#362  Overall
#35  Time Series DBMS
Score18.87
Rank#36  Overall
#22  Relational DBMS
Score0.35
Rank#317  Overall
#45  Key-value stores
Websitesitewhere.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationsitewhere.io/­docs/­2.1.0spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSiteWhereApache Software FoundationSTS Soft SC
Initial release201020142011
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Windows
Data schemepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesnonono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJDBC
ODBC
.NET Client API
Supported programming languagesJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptnono

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SiteWhereSpark SQLSTSdb
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