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DBMS > Firebolt vs. Hive vs. Prometheus vs. Quasardb

System Properties Comparison Firebolt vs. Hive vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from Clickhousedata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#128  Overall
#62  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.firebolt.iohive.apache.orgprometheus.ioquasar.ai
Technical documentationdocs.firebolt.iocwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­master
DeveloperFirebolt Analytics Inc.Apache Software Foundation infoinitially developed by Facebookquasardb
Initial release2020201220152009
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binary
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 possibleno
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API
Supported programming languagesGo
JavaScript (Node.js)
Python
C++
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 proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factoryes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail

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FireboltHivePrometheusQuasardb
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