DBMS > Amazon CloudSearch vs. Elasticsearch

System Properties Comparison Amazon CloudSearch vs. Elasticsearch

Please select another system to include it in the comparison.

Our visitors often compare Amazon CloudSearch and Elasticsearch with OpenSearch, Microsoft Azure AI Search and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

A hosted search engine service by Amazon with the data stored in Amazons cloud

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

Primary database model

Search engine

Search engine
Vector DBMS

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.62
Rank	#135	Overall
	#12	Search engines

Score	128.08
Rank	#8	Overall
	#1	Search engines
	#1	Vector DBMS

Website

aws.amazon.com/cloudsearch

www.elastic.co/elasticsearch

Technical documentation

docs.aws.amazon.com/cloudsearch

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

Developer

Amazon

Elastic

Initial release

2012

2010

Current release

8.6, January 2023

License

Commercial or Open Source

commercial

Open Source

Elastic License

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

All OS with a Java VM

Data scheme

yes

schema-free

Flexible type definitions. Once a type is defined, it is persistent

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

all search fields are automatically indexed

yes

All search fields are automatically indexed

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP API

Java API
RESTful HTTP/JSON API

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

Memcached and Redis integration

User concepts

Access control

authentication via encrypted signatures

More information provided by the system vendor

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

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

More resources

DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, 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

Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, Amazon Web Services (AWS)

AWS is quietly killing off some services under its new CEO
31 July 2024, The Stack

Amazon CloudSearch – Even Better Searching for Less Than $100/Month
24 March 2014, Amazon Web Services (AWS)

AWS closes several cloud services to new customers
8 August 2024, InfoWorld

AWS CodeCommit, Cloud9 closure communication critiqued
2 August 2024, TechTarget

provided by Google News

Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors
10 April 2025, Business Wire

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, Amazon Web Services (AWS)

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, devclass

Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors
10 April 2025, Yahoo Finance

Quesma bridges Elasticsearch and SQL, promises faster, cheaper queries
4 April 2025, Blocks and Files

provided by Google News

Share this page