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DBMS > Amazon DynamoDB vs. Amazon SimpleDB vs. Elasticsearch vs. Netezza

System Properties Comparison Amazon DynamoDB vs. Amazon SimpleDB vs. Elasticsearch vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Key-value store
Key-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.85
Rank#138  Overall
#24  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­simpledbwww.elastic.co/­elasticsearchwww.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonAmazonElasticIBM
Initial release2012200720102000
Current release8.6, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VMLinux infoincluded in appliance
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infoAll columns are indexed automaticallyyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyesyes
Triggersyes infoby integration with AWS Lambdanoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoSharding must be implemented in the applicationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynononono
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 regionno infoConcurrent data updates can be detected by the applicationnoACID
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.Memcached and Redis integration
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept

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

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