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DBMS > EXASOL vs. HBase vs. PouchDB vs. RDF4J vs. Valentina Server

System Properties Comparison EXASOL vs. HBase vs. PouchDB vs. RDF4J vs. Valentina Server

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Wide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Object-relational database and reports server
Primary database modelRelational DBMSWide column storeDocument storeRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score2.35
Rank#116  Overall
#22  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitewww.exasol.comhbase.apache.orgpouchdb.comrdf4j.orgwww.valentina-db.net
Technical documentationwww.exasol.com/­resourceshbase.apache.org/­book.htmlpouchdb.com/­guidesrdf4j.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperExasolApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Paradigma Software
Initial release20002008201220041999
Current release2.3.4, January 20217.1.1, June 20195.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open 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 languageJavaJavaScriptJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyesyes
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
Secondary indexesyesnoyes infovia viewsyesyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
Thrift
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
ODBC
Supported programming languagesJava
Lua
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptJava
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in JavaView functions in JavaScriptyesyes
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonofine grained access rights according to SQL-standard

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More resources
EXASOLHBasePouchDBRDF4J infoformerly known as SesameValentina Server
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