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

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

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA hybrid cloud data analytics software platform (Teradata Vantage)A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Relational 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
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.sadasengine.comwww.teradata.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.teradata.comydb.tech/­en/­docs
DeveloperIBMSADAS s.r.l.TeradataYandex
Initial release2000200619842019
Current release8.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux infoincluded in applianceAIX
Linux
Windows
hosted
Linux
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyesyesyes infoSQL 2016 + extensionsSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSadas EngineTeradataYDB
DB-Engines blog posts

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

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