Opensolr vs Elasticsearch — Site Search Built In, Not Assembled

Elasticsearch is a general-purpose engine for search, logs and security data. For site search you choose, configure and connect each part yourself. Opensolr is Apache Solr with those parts already built and joined for site search.

The parts of a site search, and who puts them together.

01 · Side by side

Opensolr

Elasticsearch

Engine

Opensolr: Apache Solr: schema.xml, Solr query syntax.

Elasticsearch: Elasticsearch: JSON mappings, Query DSL.

Meaning vectors

Opensolr: Made for every page and record, nothing to set up.

Elasticsearch: A semantic_text field with an inference endpoint you configure, or a model you deploy.

Hybrid search

Opensolr: Words and meaning ranked together with five search modes, set in Search Tuning.

Elasticsearch: Hybrid queries you write.

Getting pages in

Opensolr: Opensolr crawls your site on a schedule, JavaScript pages too, or push your data.

Elasticsearch: The Elastic Open Web Crawler, which you run yourself, or your own code.

Search page

Opensolr: A hosted search page, on your site with one snippet.

Elasticsearch: You build it.

The bill

Opensolr: One plan price. Every plan includes 500 AI requests a month.

Elasticsearch: Elastic Cloud: resource-based or usage-based pricing.

02 · Also part of Opensolr site search

AI Hints, AI Reader, the chat bot, search by image, text read from scans, facets, Query Elevation, Search Tuning and search analytics. One page each: Enterprise Site Search, all in one.

03 · When Elasticsearch fits

You collect logs and infrastructure events from many servers, or run security analytics, and want site search on the same cluster, with engineers to assemble it.

04 · See it live

News Search Demo · Technical Docs Demo

Try it on your own data. Create a free account, see the plans on Pricing, or watch it work first: live demos and RAG in 60 seconds.

Elastic details as published on elastic.co on 10/11/2026. Check their site for current plans and prices.