Groonga vs Yext Search Experience Cloud
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | Yext's Answers Platform collects and organizes content into a Knowledge Graph, then leverages a complementary set of products to deliver relevant, actionable answers wherever customers, employees, and partners look for information. |
Storage Engine;
Fast;
Easy to use | Organize your content with a next-generation CMS built for AI; Deliver answers across a network of 200+ integration partners; Publish answers with landing pages built for SEO and conversion; Manage crowdsourced answers about your products and services; Deliver direct answers across websites, apps, and workspaces; Unlock actionable insights on the performance of your answers |
Statistics | |
GitHub Stars 831 | GitHub Stars - |
GitHub Forks 120 | GitHub Forks - |
Stacks 2 | Stacks 8 |
Followers 15 | Followers 9 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Groonga, Yext Search Experience Cloud?
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.
Swiftype
Swiftype is the easiest way to add great search to your website or mobile application.
