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DBMS > Apache Druid vs. Pinecone vs. Prometheus

System Properties Comparison Apache Druid vs. Pinecone vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS
Time Series DBMS
Vector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitedruid.apache.orgwww.pinecone.ioprometheus.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperApache Software Foundation and contributorsPinecone Systems, Inc
Initial release201220192015
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsLinux
OS X
Unix
hostedLinux
Windows
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesString, Number, BooleanNumeric 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.nonono infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLSQL for queryingnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python.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 methodsnonono
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 datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 systemno

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More resources
Apache DruidPineconePrometheus
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