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DBMS > Apache Phoenix vs. Microsoft Azure Table Storage vs. PouchDB vs. Trafodion

System Properties Comparison Apache Phoenix vs. Microsoft Azure Table Storage vs. PouchDB vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSWide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitephoenix.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comtrafodion.apache.org
Technical documentationphoenix.apache.orgpouchdb.com/­guidestrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationMicrosoftApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2014201220122014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.1.1, June 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++, Java
Server operating systemsLinux
Unix
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBCRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeSharding
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.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
Apache PhoenixMicrosoft Azure Table StoragePouchDBTrafodion
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