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DBMS > GeoSpock vs. Interbase vs. Linter vs. Spark SQL

System Properties Comparison GeoSpock vs. Interbase vs. Linter vs. Spark SQL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonInterbase  Xexclude from comparisonLinter  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 scaleLight-weight proven RDBMS infooriginally from BorlandRDBMS for high security requirementsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegeospock.comwww.embarcadero.com/­products/­interbaselinter.ruspark.apache.org/­sql
Technical documentationdocs.embarcadero.com/­products/­interbasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockEmbarcaderorelex.ruApache Software Foundation
Initial release198419902014
Current release2.0, September 2019InterBase 2020, December 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen 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, JavascriptCC and C++Scala
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
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.nono infoexport as XML data possiblenono
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesSQL-like DML and DDL statements
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
GeoSpockInterbaseLinterSpark SQL
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