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DBMS > GeoSpock vs. Hive vs. OpenEdge vs. Prometheus

System Properties Comparison GeoSpock vs. Hive vs. OpenEdge vs. Prometheus

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  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 HadoopApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitegeospock.comhive.apache.orgwww.progress.com/­openedgeprometheus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookProgress Software Corporation
Initial release201219842015
Current release2.0, September 20193.1.3, April 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen 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, JavascriptJavaGo
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.noyesno infoImport of XML data possible
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsyes infoclose to SQL 92no
APIs and other access methodsJDBCJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federation
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 Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesUsers and groupsno

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GeoSpockHiveOpenEdgePrometheus
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