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DBMS > HBase vs. Microsoft Azure Table Storage vs. OrigoDB vs. PouchDB

System Properties Comparison HBase vs. Microsoft Azure Table Storage vs. OrigoDB vs. PouchDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelWide column storeWide column storeDocument store
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.compouchdb.com
Technical documentationhbase.apache.org/­book.htmlorigodb.com/­docspouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftRobert Friberg et alApache Software Foundation
Initial release200820122009 infounder the name LiveDB2012
Current release2.3.4, January 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#JavaScript
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesUser defined using .NET types and collectionsno
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 infocan be achieved using .NETno
Secondary indexesnonoyesyes infovia views
SQL infoSupport of SQLnononono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetJavaScript
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoyesView functions in JavaScript
Triggersyesnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-lounge
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.Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes 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.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights based on private key authentication or shared access signaturesRole based authorizationno

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More resources
HBaseMicrosoft Azure Table StorageOrigoDBPouchDB
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