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DBMS > Amazon DocumentDB vs. OpenSearch

System Properties Comparison Amazon DocumentDB vs. OpenSearch

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Our visitors often compare Amazon DocumentDB and OpenSearch with MongoDB, PostgreSQL and Amazon DynamoDB.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelDocument storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#131  Overall
#24  Document stores
Score16.64
Rank#35  Overall
#4  Search engines
Websiteaws.amazon.com/­documentdbgithub.com/­opensearch-project
opensearch.org
Technical documentationaws.amazon.com/­documentdb/­resourcesopensearch.org/­docs/­latest
DeveloperAmazon Web Services
Initial release20192021
Current release2.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJava
Server operating systemshostedAll OS with a Java VM
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyes
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 search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnoyes
Triggersnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users and roles
More information provided by the system vendor
Amazon DocumentDBOpenSearch
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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More resources
Amazon DocumentDBOpenSearch
Recent citations in the news

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available
29 November 2023, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
15 April 2024, AWS Blog

Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency
8 March 2024, AWS Blog

Amazon DocumentDB (with MongoDB compatibility) supports in-place major version upgrade in AWS GovCloud (US) Regions
29 February 2024, AWS Blog

Amazon DocumentDB now supports vector search with HNSW index
19 February 2024, AWS Blog

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