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DBMS > GeoSpock vs. Hive vs. Rockset

System Properties Comparison GeoSpock vs. Hive vs. Rockset

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonRockset  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 HadoopA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websitegeospock.comhive.apache.orgrockset.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rockset.com
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookRockset
Initial release20122019
Current release2.0, September 20193.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++
Server operating systemshostedAll OS with a Java VMhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexestemporal, categoricalyesall fields are automatically indexed
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsRead-only SQL queries, including JOINs
APIs and other access methodsJDBCJDBC
ODBC
Thrift
HTTP REST
Supported programming languagesC++
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.no
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesAccess rights for users and organizations can be defined via Rockset console

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More resources
GeoSpockHiveRockset
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