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DBMS > CouchDB vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. PouchDB vs. UniData,UniVerse

System Properties Comparison CouchDB vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. PouchDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Fully managed big data interactive analytics platformA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeRelational DBMS infocolumn orientedWide column storeDocument storeMultivalue DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitecouchdb.apache.orgazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.couchdb.org/­en/­stabledocs.microsoft.com/­en-us/­azure/­data-explorerpouchdb.com/­guidesdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftMicrosoftApache Software FoundationRocket Software
Initial release20052019201220121985
Current release3.3.3, December 2023cloud service with continuous releases7.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaScriptC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedhostedserver-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesnooptional
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 indexesyes infovia viewsall fields are automatically indexednoyes infovia viewsyes
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetnonoyes
APIs and other access methodsRESTful HTTP/JSON APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresView functions in JavaScriptYes, possible languages: KQL, Python, RnoView functions in JavaScriptyes
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenooptimistic lockingnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAzure Active Directory AuthenticationAccess rights based on private key authentication or shared access signaturesnoAccess rights according to SQL-standard and operating system based

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure Data ExplorerMicrosoft Azure Table StoragePouchDBUniData,UniVerse
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