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DBMS > Netezza vs. openGauss vs. RocksDB

System Properties Comparison Netezza vs. openGauss vs. RocksDB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGauss  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.ibm.com/­products/­netezzagitee.com/­opengauss
opengauss.org
rocksdb.org
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
github.com/­facebook/­rocksdb/­wiki
DeveloperIBMHuawei and openGauss communityFacebook, Inc.
Initial release200020192013
Current release3.0, March 20229.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSD
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++, JavaC++
Server operating systemsLinux infoincluded in applianceLinuxLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLyesANSI SQL 2011no
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesyesno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMopenGaussRocksDB
Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
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12 January 2024, tu.ac.th

Huawei launches six new products to bolster growth in cloud sector
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