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DBMS > Amazon DocumentDB vs. Amazon SimpleDB vs. Elasticsearch vs. Hypertable

System Properties Comparison Amazon DocumentDB vs. Amazon SimpleDB vs. Elasticsearch vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted 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 metricAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument storeKey-value storeSearch engineWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score132.83
Rank#7  Overall
#1  Search engines
Websiteaws.amazon.com/­documentdbaws.amazon.com/­simpledbwww.elastic.co/­elasticsearch
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonElasticHypertable Inc.
Initial release2019200720102009
Current release8.6, January 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source infoGNU version 3. Commercial license available
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 languageJavaC++
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nono
Secondary indexesyesyes infoAll columns are indexed automaticallyyes infoAll search fields are automatically indexedrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJava API
RESTful HTTP/JSON API
C++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyesselectable replication factor on file system level
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 systemImmediate ConsistencyEventual 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, allImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoConcurrent data updates can be detected by the applicationnono
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 rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no

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More resources
Amazon DocumentDBAmazon SimpleDBElasticsearchHypertable
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