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DBMS > Netezza vs. RisingWave vs. Sadas Engine vs. Teradata

System Properties Comparison Netezza vs. RisingWave vs. Sadas Engine vs. Teradata

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRisingWave  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA 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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.risingwave.com/­databasewww.sadasengine.comwww.teradata.com
Technical documentationdocs.risingwave.com/­docs/­current/­introwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.teradata.com
DeveloperIBMRisingWave LabsSADAS s.r.l.Teradata
Initial release2000202220061984
Current release1.2, September 20238.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree trial version availablecommercial
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 languageRustC++
Server operating systemsLinux infoincluded in applianceDocker
Linux
macOS
AIX
Linux
Windows
hosted
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesStandard SQL-types and JSONyesyes
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.nonoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyesyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Proprietary protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesUDFs in Python or Javanoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding 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 integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlUsers with fine-grained authorization conceptUsers and RolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMRisingWaveSadas EngineTeradata
DB-Engines blog posts

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

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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.com

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
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U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
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