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  1. Stackups
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  4. Search As A Service
  5. Amazon Kendra vs Managed Elasticsearch

Amazon Kendra vs Managed Elasticsearch

OverviewComparisonAlternatives

Overview

Amazon Kendra
Amazon Kendra
Stacks53
Followers143
Votes0
Managed Elasticsearch
Managed Elasticsearch
Stacks0
Followers5
Votes0

Amazon Kendra vs Managed Elasticsearch: What are the differences?

What is Amazon Kendra? Enterprise search service powered by machine learning. It is a highly accurate and easy to use enterprise search service that’s powered by machine learning. It delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company.

What is Managed Elasticsearch? A fully managed Elasticsearch solution. It is a fully managed Elasticsearch solution built on your environment, whether it is in the cloud or on-prem, providing enhanced security, reduced latency, and reduced costs compared to externally hosted Elasticsearch. We provide reliable, secure data ingestion and search, analysis, and visualization in real-time, while you retain full authority over your data.

Amazon Kendra and Managed Elasticsearch belong to "Search as a Service" category of the tech stack.

Some of the features offered by Amazon Kendra are:

  • Natural language & keyword support
  • Reading comprehension & FAQ matching
  • Document ranking

On the other hand, Managed Elasticsearch provides the following key features:

  • Routine Backups
  • Support for ALL versions of Elasticsearch, including both Elasticsearch from Elastic and Open Distro for Elasticsearch from AWS
  • High Availability and High Throughput

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Detailed Comparison

Amazon Kendra
Amazon Kendra
Managed Elasticsearch
Managed Elasticsearch

It is a highly accurate and easy to use enterprise search service that’s powered by machine learning. It delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company.

It is a fully managed Elasticsearch solution built on your environment, whether it is in the cloud or on-prem, providing enhanced security, reduced latency, and reduced costs compared to externally hosted Elasticsearch. We provide reliable, secure data ingestion and search, analysis, and visualization in real-time, while you retain full authority over your data.

Natural language & keyword support; Reading comprehension & FAQ matching; Document ranking; Connectors; Relevance tuning; Domain optimization
Routine Backups; Support for ALL versions of Elasticsearch, including both Elasticsearch from Elastic and Open Distro for Elasticsearch from AWS; High Availability and High Throughput; Comprehensive Elasticsearch Service; Enhanced Security
Statistics
Stacks
53
Stacks
0
Followers
143
Followers
5
Votes
0
Votes
0
Pros & Cons
Cons
  • 3
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Integrations
Dropbox
Dropbox
Bootstrap
Bootstrap
React
React
AWS IAM
AWS IAM
Amazon VPC
Amazon VPC
Box
Box
Microsoft SharePoint
Microsoft SharePoint
Amazon RDS
Amazon RDS
TypeScript
TypeScript
Salesforce Sales Cloud
Salesforce Sales Cloud
Elasticsearch
Elasticsearch

What are some alternatives to Amazon Kendra, Managed Elasticsearch?

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.

Amazon Elasticsearch Service

Amazon Elasticsearch Service

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.

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.

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