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DBMS > EXASOL vs. Fujitsu Enterprise Postgres vs. PouchDB vs. RDF4J

System Properties Comparison EXASOL vs. Fujitsu Enterprise Postgres vs. PouchDB vs. RDF4J

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.JavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.exasol.comwww.postgresql.fastware.compouchdb.comrdf4j.org
Technical documentationwww.exasol.com/­resourceswww.postgresql.fastware.com/­product-manualspouchdb.com/­guidesrdf4j.org/­documentation
DeveloperExasolPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200020122004
Current releaseFujitsu Enterprise Postgres 14, January 20227.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScriptJava
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
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.nono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyesyesnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsView functions in JavaScriptyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-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 integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
EXASOLFujitsu Enterprise PostgresPouchDBRDF4J infoformerly known as Sesame
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