Solr has Flexible Query API
March 03, 2018

Solr has Flexible Query API

Kelvin Yeo | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Apache Solr

Apache Solr is the underlying search engine servicing our Enterprise Search functions. Our instance indexes both structured data like Oracle records and unstructured data like PDF files. Its ability to return relevancy ranked results from textual search terms enabled my organization to find information faster.
  • It is simple to access its data via REST API. The flexibility in adjusting the query in terms of boosting, faceting and more is very useful.
  • It can scale horizontally by splitting shards, making it practically limitless in size.
  • It has been stable in an operational production environment.
  • It would be good to handle authentication natively in an enterprise scale. Currently it has to be wrapped by another service that does authentication.
  • Support querying across multiple collections.
  • Improve stability in Cross-Data-Center-Replication.
  • It has enabled my organization to find information faster by being a one-stop service to search across content that were indexed from varying sources.
  • By using synonyms and usual lemmatizations / stemming, it enabled discovery of new content following every search.
Azure Search is not as mature as Apache Solr at this point. So the range of query flexibility is less than Solr. Also, when indexing content goes beyond 1 TB, it might become costly for Azure Search.
Red Hat Enterprise Linux (RHEL)
It is suitable for indexing varying types of content and in applying a consistent search experience across all the content. It is less suitable for environments where indexing new content comes at higher frequencies.