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  5. Amazon Elasticsearch Service vs Azure Cognitive Search

Amazon Elasticsearch Service vs Azure Cognitive Search

OverviewComparisonAlternatives

Overview

Amazon Elasticsearch Service
Amazon Elasticsearch Service
Stacks371
Followers288
Votes24
Azure Cognitive Search
Azure Cognitive Search
Stacks39
Followers67
Votes1

Amazon Elasticsearch Service vs Azure Cognitive Search: What are the differences?

Introduction

This article compares the key differences between Amazon Elasticsearch Service and Azure Cognitive Search.

  1. Pricing Model: Amazon Elasticsearch Service follows a pay-as-you-go pricing model, where you pay for the resources used. On the other hand, Azure Cognitive Search offers a tiered pricing model, with different pricing tiers that include a fixed number of documents and storage capacity.

  2. Supported Document Types: Amazon Elasticsearch Service supports a wide range of document types, including JSON, CSV, and XML. Azure Cognitive Search primarily focuses on indexing and searching structured data, such as documents, web pages, and database records.

  3. Advanced Search Features: Amazon Elasticsearch Service provides advanced search features, such as full-text search, faceted search, and geospatial search. Azure Cognitive Search offers similar search capabilities but also provides additional features like semantic search, entity recognition, and fuzzy search.

  4. Integration with Other Services: Amazon Elasticsearch Service seamlessly integrates with other Amazon Web Services (AWS) products and services, such as Amazon S3, AWS Lambda, and AWS Identity and Access Management (IAM). Azure Cognitive Search integrates well with other Azure services like Azure Blob Storage, Azure Cosmos DB, and Azure Active Directory (AAD).

  5. Machine Learning Capabilities: While both services have the ability to perform machine learning tasks, Amazon Elasticsearch Service has a more extensive range of machine learning features, including anomaly detection, automated model tuning, and built-in algorithms. Azure Cognitive Search also offers machine learning capabilities but focuses more on document processing, entity recognition, and text analysis.

  6. Data Security and Compliance: Amazon Elasticsearch Service provides a range of security features, such as encryption at rest and in transit, access control policies, and auditing. Azure Cognitive Search offers similar security features, including encryption and role-based access control. Both services also comply with various data protection regulations, such as GDPR and HIPAA.

In summary, Amazon Elasticsearch Service and Azure Cognitive Search differ in their pricing models, supported document types, advanced search features, integration with other services, machine learning capabilities, and data security and compliance measures.

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Detailed Comparison

Amazon Elasticsearch Service
Amazon Elasticsearch Service
Azure Cognitive Search
Azure Cognitive Search

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

It is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade and AI services across vision, language and speech. Spend more time innovating and less time maintaining a complex cloud search solution.

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Start, maintain and scale with minimal investment;Create searchable content using integrated AI;Customise to meet goals and industry requirements
Statistics
Stacks
371
Stacks
39
Followers
288
Followers
67
Votes
24
Votes
1
Pros & Cons
Pros
  • 10
    Easy setup, monitoring and scaling
  • 7
    Kibana
  • 7
    Document-oriented
Pros
  • 1
    111
Integrations
Elasticsearch
Elasticsearch
Postman
Postman
Java
Java
Node.js
Node.js
Python
Python
C#
C#
PowerShell
PowerShell

What are some alternatives to Amazon Elasticsearch Service, Azure Cognitive Search?

Elasticsearch

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Typesense

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Manticore Search

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

Azure Search

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

Swiftype

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

MeiliSearch

MeiliSearch

It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

Quickwit

Quickwit

It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings.

Bonsai

Bonsai

Your customers expect fast, near-magical results from your search. Help them find what they’re looking for with Bonsai Elasticsearch. Our fully managed Elasticsearch solution makes it easy to create, manage, and test your app's search.

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