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DBMS > Apache Druid vs. Microsoft Azure SQL Database vs. PouchDB vs. STSdb vs. VictoriaMetrics

System Properties Comparison Apache Druid vs. Microsoft Azure SQL Database vs. PouchDB vs. STSdb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatabase as a Service offering with high compatibility to Microsoft SQL ServerJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeKey-value storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitedruid.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasepouchdb.comgithub.com/­STSSoft/­STSdb4victoriametrics.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.microsoft.com/­en-us/­azure/­azure-sqlpouchdb.com/­guidesdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsMicrosoftApache Software FoundationSTS Soft SCVictoriaMetrics
Initial release20122010201220112018
Current release29.0.1, April 2024V127.1.1, June 20194.0.8, September 2015v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen SourceOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScriptC#Go
Server operating systemsLinux
OS X
Unix
hostedserver-less, requires a JavaScript environment (browser, Node.js)WindowsFreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)
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.noyesnono
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLSQL for queryingyesnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC#
Java
Server-side scripts infoStored proceduresnoTransact SQLView functions in JavaScriptnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, with always 3 replicas availableMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnono

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More resources
Apache DruidMicrosoft Azure SQL Database infoformerly SQL AzurePouchDBSTSdbVictoriaMetrics
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