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

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

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 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 methodScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSKey-value storeGraph DBMS
Secondary database modelsTime Series DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitegeospock.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4terminusdb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#
DeveloperGeoSpockApache Software FoundationSTS Soft SCDataChemist Ltd.
Initial release201420112018
Current release2.0, September 20193.5.0 ( 2.13), September 20234.0.8, September 201511.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGPL 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#Prolog, Rust
Server operating systemshostedLinux
OS X
Windows
WindowsLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 statementsnoSQL-like query language (WOQL)
APIs and other access methodsJDBCJDBC
ODBC
.NET Client APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava
Python
R
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyes, utilizing Spark CorenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
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 tablenonoRole-based access control

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More resources
GeoSpockSpark SQLSTSdbTerminusDB infoformer name was DataChemist
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