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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonMonetDB  Xexclude from comparisonSpark SQL  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 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 processingA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegeospock.comhbase.apache.orgwww.monetdb.orgspark.apache.org/­sqlgithub.com/­torodb/­server
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 Foundation8Kdata
Initial release2008200420142016
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 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaCScalaJava
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesyes 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.nononono
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
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tablesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardnoAccess rights for users and roles

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More resources
GeoSpockHBaseMonetDBSpark SQLToroDB
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