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DBMS > Apache Druid vs. Prometheus vs. TimescaleDB vs. XTDB

System Properties Comparison Apache Druid vs. Prometheus vs. TimescaleDB vs. XTDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitedruid.apache.orgprometheus.iowww.timescale.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designprometheus.io/­docsdocs.timescale.comwww.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsTimescaleJuxt Ltd.
Initial release2012201520172019
Current release29.0.1, April 20242.13.0, November 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCClojure
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes, extensible-data-notation format
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 possibleyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnoyes infofull PostgreSQL SQL syntaxlimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby FederationSource-replica replication with hot standby and reads on replicas infoyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standard

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More resources
Apache DruidPrometheusTimescaleDBXTDB infoformerly named Crux
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