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

Groonga vs MeiliSearch

OverviewComparisonAlternatives

Overview

Groonga
Groonga
Stacks2
Followers15
Votes0
GitHub Stars831
Forks120
MeiliSearch
MeiliSearch
Stacks125
Followers123
Votes10
GitHub Stars54.3K
Forks2.2K

Groonga vs MeiliSearch: What are the differences?

Introduction

Markdown is a lightweight markup language that is widely used for formatting text in a simple and human-readable way, especially on websites. In this task, we will format the given content as Markdown code suitable for a website and then provide the key differences between Groonga and MeiliSearch.

1. Key difference: Operational Purpose

Groonga is an open-source full-text search engine and column store database that is designed to be embedded in applications. It is particularly optimized for handling complex and large-scale search queries.

2. Key difference: Implementation Approach

MeiliSearch, on the other hand, is also an open-source search engine, but it is designed as a separate server that can be accessed with an HTTP API. It is implemented in Rust and aims to provide a fast, powerful, and easy-to-use search solution.

3. Key difference: Query Capabilities

Groonga offers a wide range of query capabilities such as full-text search, fuzzy matching, and support for complex boolean expression queries. It also provides various query extension options for performing advanced search operations.

4. Key difference: Indexing Process

MeiliSearch focuses on simplicity and ease of use, so it automatically indexes the entire content of the document. It does not require manual schema specification or configuration, making it convenient for developers to integrate.

5. Key difference: Language Support

Groonga supports multiple programming languages and has language bindings for a variety of platforms, including C/C++, Java, Python, Ruby, and more. This allows developers to utilize Groonga in their preferred programming environments.

6. Key difference: Scalability and Distributed Architecture

MeiliSearch is designed to be horizontally scalable and supports distributed architecture, allowing it to handle high query loads and large volumes of data. It provides built-in replication and clustering capabilities for increased performance and fault-tolerance.

In summary, Groonga is an embedded search engine and column store database optimized for large-scale search queries, while MeiliSearch is a separate server-based search engine with a focus on simplicity, ease of use, and scalability.

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Detailed Comparison

Groonga
Groonga
MeiliSearch
MeiliSearch

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 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.

Storage Engine; Fast; Easy to use
Search as-you-type experience (answers < 50ms); Full-text search; Typo tolerant (understands typos and spelling mistakes); Supports Kanji; Supports Synonym; Easy to install, deploy, and maintain; Whole documents returned; Highly customizable; RESTfull API
Statistics
GitHub Stars
831
GitHub Stars
54.3K
GitHub Forks
120
GitHub Forks
2.2K
Stacks
2
Stacks
125
Followers
15
Followers
123
Votes
0
Votes
10
Pros & Cons
No community feedback yet
Pros
  • 1
    Great long tail search results
  • 1
    Fast responses to online chat
  • 1
    Facet search
  • 1
    Easy to deploy
  • 1
    Useful defaults
Integrations
Snowplow
Snowplow
Kibana
Kibana
Couchbase
Couchbase
Cloud 66
Cloud 66
Datadog
Datadog
Redash
Redash
Logstash
Logstash
No integrations available

What are some alternatives to Groonga, MeiliSearch?

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.

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.

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