Algolia vs Solr: What are the differences?
Developers describe Algolia as "Developer-friendly API and complete set of tools for building search". 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. On the other hand, Solr is detailed 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.
Algolia and Solr are primarily classified as "Search as a Service" and "Search Engines" tools respectively.
Some of the features offered by Algolia are:
- Database search
- Multi-attributes
- Search as you type
On the other hand, Solr provides the following key features:
- Advanced Full-Text Search Capabilities
- Optimized for High Volume Web Traffic
- Standards Based Open Interfaces - XML, JSON and HTTP
"Ultra fast" is the top reason why over 120 developers like Algolia, while over 33 developers mention "Powerful" as the leading cause for choosing Solr.
Medium, StackShare, and Product Hunt are some of the popular companies that use Algolia, whereas Solr is used by Slack, Coursera, and Zalando. Algolia has a broader approval, being mentioned in 258 company stacks & 54 developers stacks; compared to Solr, which is listed in 140 company stacks and 42 developer stacks.
