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DBMS > Hive vs. Prometheus vs. Quasardb vs. Transwarp KunDB vs. Warp 10

System Properties Comparison Hive vs. Prometheus vs. Quasardb vs. Transwarp KunDB vs. Warp 10

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonWarp 10  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseOLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitehive.apache.orgprometheus.ioquasar.aiwww.transwarp.cn/­en/­product/­kundbwww.warp10.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­masterwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbTranswarpSenX
Initial release2012201520092015
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Java
Server operating systemsAll OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infointeger and binaryyesyes
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.no infoImport of XML data possiblenono
Secondary indexesyesnoyes infowith tagsyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyesyes infoWarpScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HivePrometheusQuasardbTranswarp KunDBWarp 10
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