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DBMS > Microsoft Azure Table Storage vs. PouchDB vs. Solr vs. STSdb vs. TigerGraph

System Properties Comparison Microsoft Azure Table Storage vs. PouchDB vs. Solr vs. STSdb vs. TigerGraph

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeDocument storeSearch engineKey-value storeGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.34
Rank#112  Overall
#21  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comsolr.apache.orggithub.com/­STSSoft/­STSdb4www.tigergraph.com
Technical documentationpouchdb.com/­guidessolr.apache.org/­resources.htmldocs.tigergraph.com
DeveloperMicrosoftApache Software FoundationApache Software FoundationSTS Soft SC
Initial release20122012200620112017
Current release7.1.1, June 20199.6.1, May 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC#C++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)WindowsLinux
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes infoprimitive types and user defined types (classes)yes
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.nonoyesno
Secondary indexesnoyes infovia viewsyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnonoSolr Parallel SQL InterfacenoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RESTful HTTP/JSON API
.NET Client APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
C++
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptJava pluginsnoyes
Triggersnoyesyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes 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
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesnoyesnoRole-based access control

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More resources
Microsoft Azure Table StoragePouchDBSolrSTSdbTigerGraph
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