Groonga vs Klevu

Overview

Groonga

Stacks3

Followers15

Votes0

GitHub Stars831

Forks120

Klevu

Stacks1

Followers15

Votes0

Klevu vs Groonga: What are the differences?

Developers describe Klevu as "* The instant site search solution for eCommerce stores*". It is an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience. On the other hand, Groonga is detailed 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.

Klevu and Groonga belong to "Search as a Service" category of the tech stack.

Detailed Comparison

Groonga	Klevu
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 intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience.
Storage Engine; Fast; Easy to use	-
Statistics
GitHub Stars 831	GitHub Stars -
GitHub Forks 120	GitHub Forks -
Stacks 3	Stacks 1
Followers 15	Followers 15
Votes 0	Votes 0
Integrations
Snowplow Kibana Couchbase Cloud 66 Datadog Redash Logstash	No integrations available

What are some alternatives to Groonga, Klevu?

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

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

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

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 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 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

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 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

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.