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DBMS > Apache Druid vs. Prometheus vs. ReductStore vs. TerminusDB

System Properties Comparison Apache Druid vs. Prometheus vs. ReductStore vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPrometheus  Xexclude from comparisonReductStore  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 systemDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
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
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitedruid.apache.orgprometheus.iogithub.com/­reductstore
www.reduct.store
terminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designprometheus.io/­docswww.reduct.store/­docsterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsReductStore LLCDataChemist Ltd.
Initial release2012201520232018
Current release29.0.1, April 20241.9, March 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBusiness Source License 1.1Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++, RustProlog, Rust
Server operating systemsLinux
OS X
Unix
Linux
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 possibleno
Secondary indexesyesno
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (WOQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIHTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby FederationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
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 systemnoRole-based access control

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More resources
Apache DruidPrometheusReductStoreTerminusDB infoformer name was DataChemist
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