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

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

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonPouchDB  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 scaleJavaScript DBMS with an API inspired by CouchDBSpark 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 DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#115  Overall
#21  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegeospock.compouchdb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockApache Software FoundationApache Software FoundationSTS Soft SC
Initial release201220142011
Current release2.0, September 20197.1.1, June 20193.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen 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

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Implementation languageJava, JavascriptJavaScriptScalaC#
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonono
Secondary indexestemporal, categoricalyes infovia viewsnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like DML and DDL statementsno
APIs and other access methodsJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
.NET Client API
Supported programming languagesJavaScriptJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tablenonono

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More resources
GeoSpockPouchDBSpark SQLSTSdb
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