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DBMS > Apache Druid vs. Prometheus

System Properties Comparison Apache Druid vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-source TimeSeries DBMS and monitoring system
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.44
Rank#93  Overall
#49  Relational DBMS
#6  Time Series DBMS
Score6.27
Rank#62  Overall
#3  Time Series DBMS
Websitedruid.apache.orgprometheus.io
Technical documentationdruid.apache.org/­docs/­latest/­designprometheus.io/­docs
DeveloperApache Software Foundation and contributors
Initial release20122015
Current release0.22.1, December 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
OS X
Unix
Linux
Windows
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesNumeric 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.nono infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLSQL for queryingno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno

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Apache DruidPrometheus
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