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DBMS > EXASOL vs. gStore vs. Netezza

System Properties Comparison EXASOL vs. gStore vs. Netezza

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisongStore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A native Graph DBMS to store and maintain very large RDF datasets.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.exasol.comen.gstore.cnwww.ibm.com/­products/­netezza
Technical documentationwww.exasol.com/­resourcesen.gstore.cn/­#/­enDocs
DeveloperExasolIBM
Initial release200020162000
Current release1.2, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxLinux infoincluded in appliance
Data schemeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
SPARQL 1.1
JDBC
ODBC
OLE DB
Supported programming languagesJava
Lua
Python
R
C++
Java
JavaScript (Node.js)
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissions, Role-Based Access Control (RBAC) supportedUsers with fine-grained authorization concept

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More resources
EXASOLgStoreNetezza infoAlso called PureData System for Analytics by IBM
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