DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. Elasticsearch vs. Microsoft Azure Search

System Properties Comparison Amazon DynamoDB vs. Elasticsearch vs. Microsoft Azure Search

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA 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 metricSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Search engineSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.75
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score152.32
Rank#8  Overall
#1  Search engines
Score6.70
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­dynamodbwww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.aws.amazon.com/­dynamodbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­en-us/­azure/­search
DeveloperAmazonElasticMicrosoft
Initial release201220102015
Current release7.8.0, June 2020V1
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2; Elastic Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languageJava
Server operating systemshostedAll OS with a Java VMhosted
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes
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 search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Server-side scripts infoStored proceduresnoyesno
Triggersyes infoby integration with AWS Lambdayes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 integritynonono
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 regionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousing Azure authentication
More information provided by the system vendor
Amazon DynamoDBElasticsearchMicrosoft Azure Search
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDynobase: Professional DynamoDB GUI Client. Available for Mac, Windows & Linux.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more
Elastic Cloud: Try the official managed Elasticsearch.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBElasticsearchMicrosoft Azure Search
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Understanding database options for your serverless web applications
3 August 2020, idk.dev

Running DynamoDB-Compatible Database on Managed Kubernetes Services
30 July 2020, DevOps.com

Stream data to an HTTP endpoint with Amazon Kinesis Data Firehose
31 July 2020, idk.dev

Building a serverless tokenization solution to mask sensitive data
29 July 2020, idk.dev

Modeling business logic flows in serverless applications
20 July 2020, idk.dev

provided by Google News

Elasticsearch - Principal Performance Engineer - Sizing and Capacity Planning — Elastic
3 August 2020, Built In Austin

Hacking Attacks on Elasticsearch and MongoDB
27 July 2020, Search Engine Journal

Senior Product Marketing Manager, Elasticsearch and ML — Elastic
28 July 2020, Built In Austin

Elasticsearch security: Understand your options and apply best practices
7 July 2020, Help Net Security

What Led To The Recent CyberAttacks On MongoDB and Elasticsearch Databases
1 August 2020, Analytics India Magazine

provided by Google News

Microsoft Transforms Healthcare Once and For All
11 July 2020, AI Daily

Cognitive Search - Azure Search with AI | Azure Friday | Channel 9 - Microsoft
6 September 2019, Channel 9

Knowledge Mining with Azure Search | AI Show | Channel 9 - Microsoft
8 October 2019, Channel 9

Knowledge mining using the knowledge store feature of Azure Search - Microsoft
17 September 2019, Channel 9

Azure Cognitive Search brings knowledge mining to the enterprise
21 November 2019, SDTimes.com

provided by Google News

Job opportunities

Senior Engineer IAM, Sessions
Auth0, Remote

ICC Architect
Neiman Marcus, Dallas, TX

Entry Level Java Developer
Quantum Technologies Inc., Falls Church, VA

Launch SDE, FC Launch
Amazon.com Services LLC, Remote

Software Engineer
TakeOut7 Inc., Hartford, CT

MongoDB-Lead
Wipro LTD, Bothell, WA

Business Analytics Specialist Intern
New Benefits, Farmers Branch, TX

Software Engineer, Performance (Bellevue, WA) (Remote Eligible)
Okta, Bellevue, WA

Software Development Engineer (ElasticSearch Developer)
Woongjin, Inc, Fountain Valley, CA

Consultant
Microsoft, United States

Web Developer II
Flexcon, Inc., Spencer, MA

Software Engineer - Microsoft 365
Microsoft, Atlanta, GA

Azure Dev/Ops Engineer – Unified Data Platform (Remote)
JLL, Chicago, IL

Data Engineer
Costco Wholesale, Issaquah, WA

.NET Architect
Publicis Sapient, Atlanta, GA

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here