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  1. Stackups
  2. Utilities
  3. Search
  4. Search As A Service
  5. Groonga vs Typesense

Groonga vs Typesense

OverviewComparisonAlternatives

Overview

Groonga
Groonga
Stacks2
Followers15
Votes0
GitHub Stars831
Forks120
Typesense
Typesense
Stacks70
Followers119
Votes39
GitHub Stars24.6K
Forks826

Groonga vs Typesense: What are the differences?

Developers describe Groonga as "* An open-source full-text search engine and column store*". It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it. 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.

Groonga and Typesense can be primarily classified as "Search as a Service" tools.

Some of the features offered by Groonga are:

  • Storage Engine
  • Fast
  • Easy to use

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

Groonga and Typesense are both open source tools. Typesense with 2.11K GitHub stars and 43 forks on GitHub appears to be more popular than Groonga with 566 GitHub stars and 108 GitHub forks.

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Detailed Comparison

Groonga
Groonga
Typesense
Typesense

It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

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.

Storage Engine; Fast; Easy to use
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
831
GitHub Stars
24.6K
GitHub Forks
120
GitHub Forks
826
Stacks
2
Stacks
70
Followers
15
Followers
119
Votes
0
Votes
39
Pros & Cons
No community feedback yet
Pros
  • 5
    Free
  • 4
    Facet search
  • 4
    Easy to deploy
  • 3
    Out-of-the-box dev experience
  • 3
    Open source
Integrations
Snowplow
Snowplow
Kibana
Kibana
Couchbase
Couchbase
Cloud 66
Cloud 66
Datadog
Datadog
Redash
Redash
Logstash
Logstash
Mac OS X
Mac OS X
Ruby
Ruby
Linux
Linux
Python
Python
JavaScript
JavaScript

What are some alternatives to Groonga, 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.

Sphinx

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

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.

MkDocs

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

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.

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