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DBMS > Hive vs. OpenEdge vs. Prometheus

System Properties Comparison Hive vs. OpenEdge vs. Prometheus

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopApplication development environment with integrated database management systemOpen-source TimeSeries DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.48
Rank#17  Overall
#11  Relational DBMS
Score4.37
Rank#86  Overall
#45  Relational DBMS
Score6.69
Rank#63  Overall
#3  Time Series DBMS
Websitehive.apache.orgwww.progress.com/­openedgeprometheus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookProgress Software Corporation
Initial release201219842015
Current release3.1.2, August 2019OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric 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.yesno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoclose to SQL 92no
APIs and other access methodsJDBC
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 proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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, groups and rolesUsers and groupsno

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