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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPrometheus  Xexclude from comparisonSiteWhere  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 systemM2M integration platform for persisting/querying time series dataA 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 DBMSTime Series DBMSDocument store
Secondary database modelsRelational 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
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitedruid.apache.orgprometheus.iogithub.com/­sitewhere/­sitewherewww.timescale.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designprometheus.io/­docssitewhere1.sitewhere.io/­index.htmldocs.timescale.comwww.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsSiteWhereTimescaleJuxt Ltd.
Initial release20122015201020172019
Current release29.0.1, April 20242.15.0, May 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaCClojure
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoschema-less columns are supportedyespredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesnumerics, 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 possiblenoyesno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL for queryingnonoyes infofull PostgreSQL SQL syntaxlimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIHTTP RESTADO.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-basedShardingSharding infobased on HBaseyes, 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 Federationselectable replication factor infobased on HBaseSource-replica replication with hot standby and reads on replicas infoyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.nononono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Apache DruidPrometheusSiteWhereTimescaleDBXTDB infoformerly named Crux
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