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Head-to-head · Enterprise Search Software

Sinequa vs Apache Solr

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Sinequa #1 in Enterprise Search Software 8.9/10 Pricing on request ✓ 0 of 3 features Visit Sinequa
Apache Solr #4 in Enterprise Search Software 8.5/10 Free plan Free plan✓ 0 of 3 features Visit Apache Solr

Sinequa leads on 0 checks, Apache Solr on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreSinequa · 8.9/10
  • Free planonly Apache Solr

Sinequa scores higher on our rubric for enterprise search software: 8.9 against 8.5 out of 10; our editors rank them #1 and #4.

Sinequa is the better fit for large enterprises needing governed AI search. Apache Solr is the better fit for teams wanting open-source, self-hosted search.

  • Sinequa fits best

    Large enterprises needing governed AI search

  • Apache Solr fits best

    Teams wanting open-source, self-hosted search

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Sinequa 8.9/10 Visit ↗ Apache Solr 8.5/10 Visit ↗
At a glance
Editor score 8.9 8.5
Ranking #1 in Enterprise Search Software #4 in Enterprise Search Software
Best for Large enterprises needing governed AI search Teams wanting open-source, self-hosted search
Pricing model Paid Free
Starting price Pricing on request Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Platforms Web Windows, macOS, Linux
Support Tickets, Community, Docs Email, Community, Docs
Built for Enterprise Solo, Small business, Mid-market, Enterprise
Features Sinequa 0/3 · Apache Solr 0/3
AI search Not checked yet Not checked yet
Permission sync Not checked yet Not checked yet
API access Not checked yet Not checked yet
Specs
Data connectors Not checked yet Not checked yet
Deployment Not checked yet Not checked yet
Indexed languages Not checked yet Not checked yet
Our review
Pros
  • Combines vector, keyword, graph, structured and multimodal retrieval.
  • Permission-aware access controls and cited answers support traceability.
  • Offers 200+ connectors and SaaS, private-cloud or on-premises deployment.
  • Configurable full-text, faceted, vector, and geospatial search
  • Distributed indexing with sharding, replication, and fault tolerance
  • HTTP APIs, client integrations, administration interface, and metrics
Cons
  • Pricing is handled through contact with sales.
  • Its enterprise focus may not suit smaller organizations.
  • Search and answers depend on connected enterprise content.
  • Self-hosted deployment requires your team to manage infrastructure
  • Enterprise connector coverage is narrower than some packaged alternatives
  • Configuration depth can demand dedicated developer and operations effort
Our verdict

Sinequa connects enterprise information across business applications, documents, databases and email, then uses hybrid retrieval and AI to help employees find and understand relevant knowledge. It is aimed at large organizations with…

Read the review →

Apache Solr is an open-source search server built on Apache Lucene. It is designed for developers and organizations building search, discovery, analytics, and content-navigation systems across structured and unstructured content. Solr runs…

Read the review →
  1. SinequaEnterprise Search Software 8.9Pricing on request
  2. Apache SolrEnterprise Search Software 8.5Free plan

Strengths and trade-offs

  • Sinequa — where it wins

    • Combines vector, keyword, graph, structured and multimodal retrieval.
    • Permission-aware access controls and cited answers support traceability.
    • Offers 200+ connectors and SaaS, private-cloud or on-premises deployment.

    Where it doesn't

    • Pricing is handled through contact with sales.
    • Its enterprise focus may not suit smaller organizations.
    • Search and answers depend on connected enterprise content.

  • Apache Solr — where it wins

    • Configurable full-text, faceted, vector, and geospatial search
    • Distributed indexing with sharding, replication, and fault tolerance
    • HTTP APIs, client integrations, administration interface, and metrics

    Where it doesn't

    • Self-hosted deployment requires your team to manage infrastructure
    • Enterprise connector coverage is narrower than some packaged alternatives
    • Configuration depth can demand dedicated developer and operations effort

More comparisons

All enterprise search software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update