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DBMS > Netezza vs. openGauss vs. RDFox vs. Sadas Engine vs. XTDB

System Properties Comparison Netezza vs. openGauss vs. RDFox vs. Sadas Engine vs. XTDB

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGauss  Xexclude from comparisonRDFox  Xexclude from comparisonSadas Engine  Xexclude from comparisonXTDB infoformerly named Crux  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 HuaweiHigh performance knowledge graph and semantic reasoning engineSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.ibm.com/­products/­netezzagitee.com/­opengauss
opengauss.org
www.oxfordsemantic.techwww.sadasengine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oxfordsemantic.techwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.xtdb.com/­docs
DeveloperIBMHuawei and openGauss communityOxford Semantic TechnologiesSADAS s.r.l.Juxt Ltd.
Initial release20002019201720062019
Current release3.0, March 20226.0, Septermber 20228.01.19, September 2021
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C++Clojure
Server operating systemsLinux infoincluded in applianceLinuxLinux
macOS
Windows
AIX
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesANSI SQL 2011noyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
HTTP REST
JDBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
C
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresyesyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationreplication via a shared file systemnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMopenGaussRDFoxSadas EngineXTDB infoformerly named Crux
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

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

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

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Use semantic reasoning to infer new facts from your RDF graph by integrating RDFox with Amazon Neptune | Amazon ...
20 February 2023, AWS Blog

The intuitions behind Knowledge Graphs and Reasoning | by Peter Crocker
5 May 2020, Towards Data Science

Eight interesting open-source graph databases
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