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DBMS > Amazon SimpleDB vs. DuckDB vs. Memcached vs. Netezza

System Properties Comparison Amazon SimpleDB vs. DuckDB vs. Memcached vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDuckDB  Xexclude from comparisonMemcached  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn embeddable, in-process, column-oriented SQL OLAP RDBMSIn-memory key-value store, originally intended for cachingData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­simpledbduckdb.orgwww.memcached.orgwww.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­simpledbduckdb.org/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalIBM
Initial release2007201820032000
Current release0.10, February 20241.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoBSD licensecommercial
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++C
Server operating systemshostedserver-lessFreeBSD
Linux
OS X
Unix
Windows
Linux infoincluded in appliance
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Proprietary protocolJDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnononoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBDuckDBMemcachedNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

Amazon SimpleDB Management in Eclipse | AWS News Blog
22 July 2009, AWS Blog

Hands-on Tutorial for Getting Started with Amazon SimpleDB
28 May 2010, Packt Hub

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ...
12 November 2013, TechCrunch

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1 September 2023, All Things Distributed

An Overview of Amazon Web Services - Cloud Application Architectures [Book]
22 September 2018, O'Reilly Media

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DuckDB: The tiny but powerful analytics database
15 May 2024, InfoWorld

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

DuckDB Walks to the Beat of Its Own Analytics Drum
5 March 2024, Datanami

Enabling Remote Query Execution through DuckDB Extensions
12 March 2024, InfoQ.com

MotherDuck Raises $52.5 Million Series B Funding as DuckDB Adoption Soars
20 September 2023, PR Newswire

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Redis Labs Boldly Joins AWS in Dropping Prices From 10 to 40 Percent
27 March 2024, Yahoo Lifestyle UK

Why Redis beats Memcached for caching
14 September 2017, InfoWorld

Introducing mcrouter: A memcached protocol router for scaling memcached deployments
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1 March 2018, ZDNet

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

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
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
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