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

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

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonToroDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleSpark 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 methodA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitegeospock.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4github.com/­torodb/­server
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockApache Software FoundationSTS Soft SC8Kdata
Initial release201420112016
Current release2.0, September 20193.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptScalaC#Java
Server operating systemshostedLinux
OS X
Windows
WindowsAll OS with a Java 7 VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes infostring, integer, double, boolean, date, object_id
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, categoricalnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsno
APIs and other access methodsJDBCJDBC
ODBC
.NET Client API
Supported programming languagesJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.nono
User concepts infoAccess controlAccess rights for users can be defined per tablenonoAccess rights for users and roles

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More resources
GeoSpockSpark SQLSTSdbToroDB
Recent citations in the news

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