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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMemcached  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  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 ScioreIn-memory key-value store, originally intended for cachingData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelKey-value storeKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­simpledbwww.memcached.orgwww.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­memcached/­memcached/­wikidocs.pinecone.io/­docs/­overview
DeveloperAmazonDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalIBMPinecone Systems, Inc
Initial release2007200320002019
Current release1.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux infoincluded in appliancehosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyesString, Number, Boolean
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 automaticallynoyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIProprietary protocolJDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBMemcachedNetezza infoAlso called PureData System for Analytics by IBMPinecone
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Amazon SimpleDB Management in Eclipse | AWS News Blog
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