Elasticsearch vs Typesense: What are the differences?
Developers describe Elasticsearch as "Open Source, Distributed, RESTful Search Engine". 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). 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.
Elasticsearch and Typesense belong to "Search as a Service" category of the tech stack.
Some of the features offered by Elasticsearch are:
- Distributed and Highly Available Search Engine.
- Multi Tenant with Multi Types.
- Various set of APIs including RESTful
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
Elasticsearch and Typesense are both open source tools. It seems that Elasticsearch with 46.9K GitHub stars and 15.9K forks on GitHub has more adoption than Typesense with 2.11K GitHub stars and 43 GitHub forks.
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