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DBMS > Firebolt vs. Hazelcast vs. Hive vs. Prometheus

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

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonHazelcast  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA widely adopted in-memory data griddata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.firebolt.iohazelcast.comhive.apache.orgprometheus.io
Technical documentationdocs.firebolt.iohazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docs
DeveloperFirebolt Analytics Inc.HazelcastApache Software Foundation infoinitially developed by Facebook
Initial release2020200820122015
Current release5.3.6, November 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2Open Source infoApache 2.0
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 languageJavaJavaGo
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.yes infothe object must implement a serialization strategyno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methods.Net
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduceno
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoReplicated Mapselectable replication factoryes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlRole-based access controlAccess rights for users, groups and rolesno

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FireboltHazelcastHivePrometheus
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