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DBMS > GeoSpock vs. HBase vs. MonetDB vs. Spark SQL

System Properties Comparison GeoSpock vs. HBase vs. MonetDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonMonetDB  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 scaleWide-column store based on Apache Hadoop and on concepts of BigTableA relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegeospock.comhbase.apache.orgwww.monetdb.orgspark.apache.org/­sql
Technical documentationhbase.apache.org/­book.htmlwww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetMonetDB BVApache Software Foundation
Initial release200820042014
Current release2.0, September 20192.3.4, January 2021Dec2023 (11.49), December 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoMozilla Public License 2.0Open 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, JavascriptJavaCScala
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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, categoricalnoyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes infoSQL 2003 with some extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes, in SQL, C, Rno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tablesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardno

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More resources
GeoSpockHBaseMonetDBSpark SQL
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