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DBMS > GeoSpock vs. Hive vs. InterSystems Caché vs. PostGIS

System Properties Comparison GeoSpock vs. Hive vs. InterSystems Caché vs. PostGIS

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPostGIS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopA multi-model DBMS and application serverSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Spatial DBMS
Secondary database modelsTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitegeospock.comhive.apache.orgwww.intersystems.com/­products/­cachepostgis.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.compostgis.net/­documentation
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookInterSystems
Initial release201219972005
Current release2.0, September 20193.1.3, April 20222018.1.4, May 20203.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC
Server operating systemshostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesdepending on used data modelyes
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.noyesyes
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesuser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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 rights for users, groups and rolesAccess rights for users, groups and rolesyes infobased on PostgreSQL

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More resources
GeoSpockHiveInterSystems CachéPostGIS
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