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DBMS > GeoSpock vs. gStore vs. OpenEdge vs. Spark SQL

System Properties Comparison GeoSpock vs. gStore vs. OpenEdge vs. Spark SQL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisongStore  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  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 scaleA native Graph DBMS to store and maintain very large RDF datasets.Application development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegeospock.comen.gstore.cnwww.progress.com/­openedgespark.apache.org/­sql
Technical documentationen.gstore.cn/­#/­enDocsdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockProgress Software CorporationApache Software Foundation
Initial release201619842014
Current release2.0, September 20191.2, November 2023OpenEdge 12.2, March 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoApache 2.0
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++Scala
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexestemporal, categoricalyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes infoclose to SQL 92SQL-like DML and DDL statements
APIs and other access methodsJDBCHTTP API
SPARQL 1.1
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infosince Version 11.4yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.nononono
User concepts infoAccess controlAccess rights for users can be defined per tableUsers, roles and permissions, Role-Based Access Control (RBAC) supportedUsers and groupsno

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More resources
GeoSpockgStoreOpenEdgeSpark SQL
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