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DBMS > Netezza vs. STSdb vs. SWC-DB vs. Teradata

System Properties Comparison Netezza vs. STSdb vs. SWC-DB vs. Teradata

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSTSdb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA high performance, scalable Wide Column DBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­STSSoft/­STSdb4github.com/­kashirin-alex/­swc-db
www.swcdb.org
www.teradata.com
Technical documentationdocs.teradata.com
DeveloperIBMSTS Soft SCAlex KashirinTeradata
Initial release2000201120201984
Current release4.0.8, September 20150.5, April 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++
Server operating systemsLinux infoincluded in applianceWindowsLinuxhosted
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yes
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
Secondary indexesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnoSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
OLE DB
.NET Client APIProprietary protocol
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C#
Java
C++C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 conceptnofine grained access rights according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSTSdbSWC-DB infoSuper Wide Column DatabaseTeradata
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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