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DBMS > BigObject vs. Hive vs. Prometheus

System Properties Comparison BigObject vs. Hive vs. Prometheus

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesdata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitebigobject.iohive.apache.orgprometheus.io
Technical documentationdocs.bigobject.iocwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docs
DeveloperBigObject, Inc.Apache Software Foundation infoinitially developed by Facebook
Initial release201520122015
Current release3.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2Open 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 systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
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.nono infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresLuayes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistencynone
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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.yesno
User concepts infoAccess controlnoAccess rights for users, groups and rolesno

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BigObjectHivePrometheus
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