Solr vs MeiliSearch: What are the differences?
Developers describe Solr as "An open source enterprise search server based on Lucene search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication etc". Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. On the other hand, MeiliSearch is detailed as "*Ultra relevant, instant and typo-tolerant full-text search API *". 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.
Solr and MeiliSearch can be categorized as "Search Engines" tools.
Some of the features offered by Solr are:
- Advanced Full-Text Search Capabilities
- Optimized for High Volume Web Traffic
- Standards Based Open Interfaces - XML, JSON and HTTP
On the other hand, MeiliSearch provides the following key features:
- Search as-you-type experience (answers < 50ms)
- Full-text search
- Typo tolerant (understands typos and spelling mistakes)
MeiliSearch is an open source tool with 731 GitHub stars and 24 GitHub forks. Here's a link to MeiliSearch's open source repository on GitHub.