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DBMS > Apache Druid vs. Databend vs. Kinetica vs. Prometheus

System Properties Comparison Apache Druid vs. Databend vs. Kinetica vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabend  Xexclude from comparisonKinetica  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFully vectorized database across both GPUs and CPUsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitedruid.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.kinetica.comprometheus.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databend.comdocs.kinetica.comprometheus.io/­docs
DeveloperApache Software Foundation and contributorsDatabend LabsKinetica
Initial release2012202120122015
Current release29.0.1, April 20241.0.59, April 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC, C++Go
Server operating systemsLinux
OS X
Unix
hosted
Linux
macOS
LinuxLinux
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes
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.nononono infoImport of XML data possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL for queryingyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept, user rolesAccess rights for users and roles on table levelno

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More resources
Apache DruidDatabendKineticaPrometheus
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