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DBMS > Amazon DynamoDB vs. Netezza vs. Sadas Engine vs. Teradata Aster

System Properties Comparison Amazon DynamoDB vs. Netezza vs. Sadas Engine vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudData warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.39
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score6.70
Rank#52  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.ibm.com/­products/­netezzawww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonIBMSADAS s.r.l.Teradata
Initial release2012200020062005
Current release8.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infofree trial version availablecommercial
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 languageC++
Server operating systemshostedLinux infoincluded in applianceAIX
Linux
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoR packages
Triggersyes infoby integration with AWS Lambdanonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACID
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'no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBNetezza infoAlso called PureData System for Analytics by IBMSadas EngineTeradata Aster
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Recent citations in the news

Build a scalable, context-aware chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [1a006c]
9 November 2024, Vatican.va

How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 2: Streams
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [11b37b]
8 November 2024, University of Birmingham

How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 1: Motivation and approaches
6 November 2024, AWS Blog

provided by Google News

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

Five real-life Netezza performance server use cases
29 June 2020, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

provided by Google News

Teradata Aster gets graph database, HDFS-compatible file store
8 October 2013, ZDNet

Northwestern Analytics Partners with Teradata Aster to Host Hackathon
23 May 2014, Northwestern Engineering

Teradata's Aster shows how the flowers of fraud bloom
23 April 2015, The Register

Teradata Introduces New IoT and AoT Capabilities
18 April 2016, Database Trends and Applications

Teradata juices R language in hopes of finding new growth paths
27 June 2014, SiliconANGLE News

provided by Google News



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