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

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

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleDBMS for structured and unstructured content wrapped with an application serverSpark 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 modelRelational DBMSNative XML DBMS
Search engine
Relational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegeospock.comwww.searchxml.net/­category/­productsspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockinformationpartners gmbhApache Software FoundationSTS Soft SC
Initial release201520142011
Current release2.0, September 20191.03.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++ScalaC#
Server operating systemshostedWindowsLinux
OS X
Windows
Windows
Data schemeyesschema-freeyesyes
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.noyesno
Secondary indexestemporal, categoricalyesnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like DML and DDL statementsno
APIs and other access methodsJDBCRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
.NET Client API
Supported programming languagesC++ infomost other programming languages supported via APIsJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes infoon the application servernono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsnonenone
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 datanomultiple readers, single writernono
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 controlAccess rights for users can be defined per tableDomain, group and role-based access control at the document level and for application servicesnono

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More resources
GeoSpocksearchxmlSpark SQLSTSdb
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