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DBMS > GeoSpock vs. Hive vs. PostGIS

System Properties Comparison GeoSpock vs. Hive vs. PostGIS

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  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 scaledata warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score24.72
Rank#29  Overall
#1  Spatial DBMS
Websitegeospock.comhive.apache.orgpostgis.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentation
DeveloperGeoSpockApache Software Foundation infoinitially developed by Facebook
Initial release20122005
Current release2.0, September 20193.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC
Server operating systemshostedAll OS with a Java VM
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Supported programming languagesC++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesyes infobased on PostgreSQL

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More resources
GeoSpockHivePostGIS
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

Cambridge-Based GeoSpock Secures £10 Million Additional Funding
8 January 2019, Business Wire

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2 October 2020, AlexaBlockchain

UK-based database GeoSpock bags $5.4m, to expand into
6 October 2020, Tech in Asia

provided by Google News

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