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DBMS > EventStoreDB vs. Netezza vs. openGauss

System Properties Comparison EventStoreDB vs. Netezza vs. openGauss

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Data warehouse and analytics appliance part of IBM PureSystemsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelEvent StoreRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.eventstore.comwww.ibm.com/­products/­netezzagitee.com/­opengauss
opengauss.org
Technical documentationdevelopers.eventstore.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperEvent Store LimitedIBMHuawei and openGauss community
Initial release201220002019
Current release21.2, February 20213.0, March 2022
License infoCommercial or Open SourceOpen SourcecommercialOpen Source
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, C++, Java
Server operating systemsLinux
Windows
Linux infoincluded in applianceLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesANSI SQL 2011
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
Server-side scripts infoStored proceduresyesyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
EventStoreDBNetezza infoAlso called PureData System for Analytics by IBMopenGauss
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