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  4. Search As A Service
  5. Bonsai vs Typesense

Bonsai vs Typesense

OverviewComparisonAlternatives

Overview

Bonsai
Bonsai
Stacks27
Followers39
Votes2
Typesense
Typesense
Stacks70
Followers119
Votes39
GitHub Stars24.6K
Forks826

Bonsai vs Typesense: What are the differences?

Developers describe Bonsai as "Fast, reliable full-text search, managed for you by experts". 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. On the other hand, Typesense is detailed as "Open-Source Alternative to Algolia". 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.

Bonsai and Typesense belong to "Search as a Service" category of the tech stack.

Some of the features offered by Bonsai are:

  • The Open Source Advantage- Our service is proudly powered by Elasticsearch and Apache Lucene, the open source industry standard for fast full-text search.
  • Results in Real-Time- Search your site's activity as it happens, with Elasticsearch's cutting-edge real-time updates
  • High Availability by default

On the other hand, Typesense provides the following key features:

  • Handles typographical errors elegantly
  • Simple to set-up and manage
  • Easy to tailor your search results to perfection

Typesense is an open source tool with 2.11K GitHub stars and 43 GitHub forks. Here's a link to Typesense's open source repository on GitHub.

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Detailed Comparison

Bonsai
Bonsai
Typesense
Typesense

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.

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.

The Open Source Advantage- Our service is proudly powered by Elasticsearch and Apache Lucene, the open source industry standard for fast full-text search; Results in Real-Time- Search your site's activity as it happens, with Elasticsearch's cutting-edge real-time updates; High Availability by default; Security by default, including TTS/SSL and Advanced Authentication Controls; One-Click Kibana; By-the-Minute Metrics; Third-party integrations like Datadog; Supported by experts with thousands of hours of hands-on experience with Elasticsearch
Handles typographical errors elegantly; Simple to set-up and manage; Easy to tailor your search results to perfection; Meticulously designed and optimized for speed
Statistics
GitHub Stars
-
GitHub Stars
24.6K
GitHub Forks
-
GitHub Forks
826
Stacks
27
Stacks
70
Followers
39
Followers
119
Votes
2
Votes
39
Pros & Cons
Pros
  • 2
    Free tier
Pros
  • 5
    Free
  • 4
    Facet search
  • 4
    Easy to deploy
  • 3
    Out-of-the-box dev experience
  • 3
    Ultra fast
Integrations
AWS IAM
AWS IAM
Datadog
Datadog
Heroku
Heroku
Mac OS X
Mac OS X
Ruby
Ruby
Linux
Linux
Python
Python
JavaScript
JavaScript

What are some alternatives to Bonsai, Typesense?

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.

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.

Azure Cognitive Search

Azure Cognitive Search

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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