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DBMS > Netezza vs. Riak TS vs. STSdb vs. Teradata

System Properties Comparison Netezza vs. Riak TS vs. STSdb vs. Teradata

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational 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
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.teradata.com
DeveloperIBMOpen Source, formerly Basho TechnologiesSTS Soft SCTeradata
Initial release2000201520111984
Current release3.0.0, September 20224.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPLv2, commercial license 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 languageErlangC#
Server operating systemsLinux infoincluded in applianceLinux
OS X
Windowshosted
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes 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 indexesyesrestrictednoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyes, limitednoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesErlangnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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
User concepts infoAccess controlUsers with fine-grained authorization conceptnonofine grained access rights according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMRiak TSSTSdbTeradata
DB-Engines blog posts

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