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DBMS > searchxml vs. SiteWhere vs. Spark SQL vs. STSdb

System Properties Comparison searchxml vs. SiteWhere vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
Namesearchxml  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDBMS for structured and unstructured content wrapped with an application serverM2M 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 modelNative XML DBMS
Search engine
Time Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.searchxml.net/­category/­productsgithub.com/­sitewhere/­sitewherespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.searchxml.net/­support/­handoutssitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developerinformationpartners gmbhSiteWhereApache Software FoundationSTS Soft SC
Initial release2015201020142011
Current release1.03.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScalaC#
Server operating systemsWindowsLinux
OS X
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.yesnono
Secondary indexesyesnonono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
WebDAV
XQuery
XSLT
HTTP RESTJDBC
ODBC
.NET Client API
Supported programming languagesC++ infomost other programming languages supported via APIsJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes infoon the application servernono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBaseyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsselectable replication factor infobased on HBasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernonono
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.nonono
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesUsers with fine-grained authorization conceptnono

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More resources
searchxmlSiteWhereSpark SQLSTSdb
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