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DBMS > IBM Db2 warehouse vs. Netezza vs. RisingWave vs. Teradata

System Properties Comparison IBM Db2 warehouse vs. Netezza vs. RisingWave vs. Teradata

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Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRisingWave  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionCloud-based data warehousing serviceData warehouse and analytics appliance part of IBM PureSystemsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.ibm.com/­products/­netezzawww.risingwave.com/­databasewww.teradata.com
Technical documentationdocs.risingwave.com/­docs/­current/­introdocs.teradata.com
DeveloperIBMIBMRisingWave LabsTeradata
Initial release2014200020221984
Current release1.2, September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemshostedLinux infoincluded in applianceDocker
Linux
macOS
hosted
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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 infoImport/export of XML data possiblenoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyesyesyes infoSQL 2016 + extensions
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
OLE DB
JDBC
PostgreSQL wire protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresPL/SQL, SQL PLyesUDFs in Python or Javayes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUsers and Rolesfine grained access rights according to SQL-standard

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBNetezza infoAlso called PureData System for Analytics by IBMRisingWaveTeradata
DB-Engines blog posts

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

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