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DBMS > Hive vs. Ingres vs. Prometheus vs. Quasardb vs. Transwarp KunDB

System Properties Comparison Hive vs. Ingres vs. Prometheus vs. Quasardb vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIngres  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.11
Rank#81  Overall
#44  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
Websitehive.apache.orgwww.actian.com/­databases/­ingresprometheus.ioquasar.aiwww.transwarp.cn/­en/­product/­kundb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookActian CorporationquasardbTranswarp
Initial release20121974 infooriginally developed at University Berkely in early 1970s20152009
Current release3.1.3, April 202211.2, May 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
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 languageJavaCGoC++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binaryyes
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 infobut tools for importing/exporting data from/to XML-files availableno infoImport of XML data possibleno
Secondary indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP/JSON APIHTTP API
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-reduceyesnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres Replicatoryes infoby FederationSource-replica replication with selectable replication factor
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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 mode
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailyes

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More resources
HiveIngresPrometheusQuasardbTranswarp KunDB
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