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DBMS > Hive vs. Microsoft Azure Table Storage vs. Prometheus vs. Quasardb vs. TerarkDB

System Properties Comparison Hive vs. Microsoft Azure Table Storage vs. Prometheus vs. Quasardb vs. TerarkDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTerarkDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasetsOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSWide column storeTime Series DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesprometheus.ioquasar.aigithub.com/­bytedance/­terarkdb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­masterbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftquasardbByteDance, originally Terark
Initial release20122012201520092016
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C++
Server operating systemsAll OS with a Java VMhostedLinux
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binaryno
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 possiblenono
Secondary indexesyesnonoyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP APIRESTful HTTP/JSON APIHTTP APIC++ API
Java API
Supported programming languagesC++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signaturesnoCryptographically strong user authentication and audit trailno

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More resources
HiveMicrosoft Azure Table StoragePrometheusQuasardbTerarkDB
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