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Head-to-head · Enterprise Search Software

Apache Solr vs Guru

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Apache Solr #4 in Enterprise Search Software 8.5/10 Free plan Free plan✓ 0 of 3 features Visit Apache Solr
Guru #8 in Enterprise Search Software 7.7/10 Pricing on request ✓ 0 of 3 features Visit Guru

Apache Solr leads on 0 checks, Guru 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 scoreApache Solr · 8.5/10
  • Free planonly Apache Solr

Apache Solr scores higher on our rubric for enterprise search software: 8.5 against 7.7 out of 10; our editors rank them #4 and #8.

Apache Solr is the better fit for teams wanting open-source, self-hosted search. Guru is the better fit for teams combining enterprise search with maintained knowledge.

  • Apache Solr fits best

    Teams wanting open-source, self-hosted search

  • Guru fits best

    Teams combining enterprise search with maintained knowledge

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 Apache Solr 8.5/10 Visit ↗ Guru 7.7/10 Visit ↗
At a glance
Editor score 8.5 7.7
Ranking #4 in Enterprise Search Software #8 in Enterprise Search Software
Best for Teams wanting open-source, self-hosted search Teams combining enterprise search with maintained knowledge
Pricing model Free Paid
Starting price Free plan Pricing on request
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Self-hosted Cloud, Browser extension
Platforms Windows, macOS, Linux Web, Chrome extension
Support Email, Community, Docs Email, Live chat, Tickets, Docs · 24/7
Built for Solo, Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Solr 0/3 · Guru 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
  • Configurable full-text, faceted, vector, and geospatial search
  • Distributed indexing with sharding, replication, and fault tolerance
  • HTTP APIs, client integrations, administration interface, and metrics
  • Permission-aware search across connected workplace sources
  • AI Knowledge Agents provide sourced answers and knowledge-work support
  • Review, verification, revision history, and analytics for maintained content
Cons
  • 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
  • Pricing is packaged through sales rather than published plan prices
  • Public Cards functionality ended in December 2025
  • Primarily targets internal knowledge management rather than broad external publishing
Our verdict

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 →

Guru is a cloud knowledge management platform for mid-market and enterprise teams that need search and maintained workplace information together. It centralizes content from company systems, supports Card and Page authoring, and delivers…

Read the review →
  1. Apache SolrEnterprise Search Software 8.5Free plan
  2. GuruEnterprise Search Software 7.7Pricing on request

Strengths and trade-offs

  • 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
  • Guru — where it wins

    • Permission-aware search across connected workplace sources
    • AI Knowledge Agents provide sourced answers and knowledge-work support
    • Review, verification, revision history, and analytics for maintained content

    Where it doesn't

    • Pricing is packaged through sales rather than published plan prices
    • Public Cards functionality ended in December 2025
    • Primarily targets internal knowledge management rather than broad external publishing

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update