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DBMS > Apache Phoenix vs. EsgynDB vs. PouchDB vs. RDF4J vs. searchxml

System Properties Comparison Apache Phoenix vs. EsgynDB vs. PouchDB vs. RDF4J vs. searchxml

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.DBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMSDocument storeRDF storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitephoenix.apache.orgwww.esgyn.cnpouchdb.comrdf4j.orgwww.searchxml.net/­category/­products
Technical documentationphoenix.apache.orgpouchdb.com/­guidesrdf4j.org/­documentationwww.searchxml.net/­support/­handouts
DeveloperApache Software FoundationEsgynApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.informationpartners gmbh
Initial release20142015201220042015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.1.1, June 20191.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaScriptJavaC++
Server operating systemsLinux
Unix
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetJavaScriptJava
PHP
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresView functions in JavaScriptyesyes infoon the application server
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API usedmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as wellyes
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-tenancyfine grained access rights according to SQL-standardnonoDomain, group and role-based access control at the document level and for application services

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More resources
Apache PhoenixEsgynDBPouchDBRDF4J infoformerly known as Sesamesearchxml
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