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DBMS > Databend vs. InterSystems IRIS vs. Microsoft Azure Table Storage vs. PouchDB

System Properties Comparison Databend vs. InterSystems IRIS vs. Microsoft Azure Table Storage vs. PouchDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Wide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.com
Technical documentationdocs.databend.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clspouchdb.com/­guides
DeveloperDatabend LabsInterSystemsMicrosoftApache Software Foundation
Initial release2021201820122012
Current release1.0.59, April 20232023.3, June 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaScript
Server operating systemshosted
Linux
macOS
AIX
Linux
macOS
Ubuntu
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesnoyes infovia views
SQL infoSupport of SQLyesyesnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyesnoView functions in JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyesAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
DatabendInterSystems IRISMicrosoft Azure Table StoragePouchDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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DatabendInterSystems IRISMicrosoft Azure Table StoragePouchDB
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