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  1. Stackups
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  3. Search
  4. Search As A Service
  5. Groonga vs Milvus

Groonga vs Milvus

OverviewComparisonAlternatives

Overview

Groonga
Groonga
Stacks2
Followers15
Votes0
GitHub Stars831
Forks120
Milvus
Milvus
Stacks62
Followers49
Votes2
GitHub Stars38.3K
Forks3.5K

Groonga vs Milvus: What are the differences?

What is Groonga? * 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.

What is Milvus? An Open Source Vector Similarity Search Engine. It is an open source similarity search engine for massive-scale feature vectors. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

Groonga and Milvus belong to "Search Engines" category of the tech stack.

Some of the features offered by Groonga are:

  • Storage Engine
  • Fast
  • Easy to use

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

  • Heterogeneous computing
  • Multiple indexes
  • Intelligent resource management

Groonga and Milvus are both open source tools. Milvus with 1.04K GitHub stars and 217 forks on GitHub appears to be more popular than Groonga with 551 GitHub stars and 108 GitHub forks.

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Detailed Comparison

Groonga
Groonga
Milvus
Milvus

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.

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

Storage Engine; Fast; Easy to use
Heterogeneous computing; Multiple indexes; Intelligent resource management; Horizontal scalability; High availability
Statistics
GitHub Stars
831
GitHub Stars
38.3K
GitHub Forks
120
GitHub Forks
3.5K
Stacks
2
Stacks
62
Followers
15
Followers
49
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 2
    Best similarity search engine, fast and easy to use
Integrations
Snowplow
Snowplow
Kibana
Kibana
Couchbase
Couchbase
Cloud 66
Cloud 66
Datadog
Datadog
Redash
Redash
Logstash
Logstash
Hugging Face
Hugging Face
Java
Java
CentOS
CentOS
Python
Python
PyTorch
PyTorch
C++
C++
Ubuntu
Ubuntu
Cohere
Cohere

What are some alternatives to Groonga, Milvus?

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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