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DBMS > EXASOL vs. Netezza vs. PostgreSQL vs. RDF4J vs. SwayDB

System Properties Comparison EXASOL vs. Netezza vs. PostgreSQL vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Data warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.RDF storeKey-value store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score645.05
Rank#4  Overall
#4  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitewww.exasol.comwww.ibm.com/­products/­netezzawww.postgresql.orgrdf4j.orgswaydb.simer.au
Technical documentationwww.exasol.com/­resourceswww.postgresql.org/­docsrdf4j.org/­documentation
DeveloperExasolIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release200020001989 info1989: Postgres, 1996: PostgreSQL20042018
Current release16.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScala
Server operating systemsLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyes infostandard with numerous extensionsnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardnono

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More resources
EXASOLNetezza infoAlso called PureData System for Analytics by IBMPostgreSQLRDF4J infoformerly known as SesameSwayDB
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