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Head-to-head · Search Databases

Apache Solr vs Elasticsearch

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Apache Solr #2 in Search Databases 9.3/10 Free plan Free plan✓ 2 of 2 features Visit Apache Solr
Elasticsearch #3 in Search Databases 9.2/10 Free plan · 14-day trial Free planFree trial✓ 2 of 2 features Visit Elasticsearch

Apache Solr leads on 0 checks, Elasticsearch on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Solr · 9.3/10
  • Free planboth
  • Free trialonly Elasticsearch

Apache Solr scores higher on our rubric for search databases: 9.3 against 9.2 out of 10; our editors rank them #2 and #3.

On deployment, Elasticsearch gives you Both where Apache Solr offers Self-hosted.

Apache Solr is the better fit for open-source, full-featured search deployments. Elasticsearch is the better fit for scalable search and analytics teams.

  • Apache Solr fits best

    Open-source, full-featured search deployments

  • Elasticsearch fits best

    Scalable search and analytics teams

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Side by side

Feature Apache Solr 9.3/10 Visit ↗ Elasticsearch 9.2/10 Visit ↗
At a glance
Editor score 9.3 9.2
Ranking #2 in Search Databases #3 in Search Databases
Best for Open-source, full-featured search deployments Scalable search and analytics teams
Pricing model Free Free plan + paid
Starting price Free plan —
Free plan ✓ ✓
Free trial — 14 days
Deployment Self-hosted Cloud, Self-hosted
Platforms Windows, macOS, Linux Web
Support Email, Community, Docs Phone, Live chat · 24/7
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Apache Solr 2/2 · Elasticsearch 2/2
Vector search ✓ ✓
Faceted search ✓ ✓
Specs
Primary search mode Hybrid Hybrid
Deployment Self-hosted Both
Index limit Not checked yet Not checked yet
Query interface REST REST
Our review
Pros
  • Hybrid search combines full-text, faceting, vector, and geospatial queries
  • Distributed indexing supports sharding, replication, and fault tolerance
  • REST-like APIs, SolrJ, and an administration interface support varied workflows
  • Combines full-text, vector, semantic, hybrid, and geospatial search
  • Supports distributed storage, replication, aggregations, and cluster scaling
  • Runs managed, serverless, self-managed, on premises, or in clouds
Cons
  • Self-hosted deployment places setup and operations with the organization
  • Its broad feature set may exceed the needs of simple search projects
  • Distributed operation requires configuring sharding, replication, and fault tolerance
  • Paid tiers begin at $99 per month
  • Cloud pricing varies by provider, region, instance type, and usage
  • Advanced capabilities are reserved for higher paid tiers
Our verdict

Apache Solr is an open-source search server built on Apache Lucene for developers and organizations creating search, discovery, analytics, and content-navigation systems. It indexes structured and unstructured content and retrieves it…

Read the review →

Elasticsearch is a distributed search and analytics engine for structured, unstructured, and vector data. It suits search and analytics teams building applications that need full-text retrieval, filtering, aggregations, real-time…

Read the review →
  1. Apache SolrSearch Databases 9.3Free plan
  2. ElasticsearchSearch Databases 9.2Free plan · 14-day trial

Strengths and trade-offs

  • Apache Solr — where it wins

    • Hybrid search combines full-text, faceting, vector, and geospatial queries
    • Distributed indexing supports sharding, replication, and fault tolerance
    • REST-like APIs, SolrJ, and an administration interface support varied workflows

    Where it doesn't

    • Self-hosted deployment places setup and operations with the organization
    • Its broad feature set may exceed the needs of simple search projects
    • Distributed operation requires configuring sharding, replication, and fault tolerance

  • Elasticsearch — where it wins

    • Combines full-text, vector, semantic, hybrid, and geospatial search
    • Supports distributed storage, replication, aggregations, and cluster scaling
    • Runs managed, serverless, self-managed, on premises, or in clouds

    Where it doesn't

    • Paid tiers begin at $99 per month
    • Cloud pricing varies by provider, region, instance type, and usage
    • Advanced capabilities are reserved for higher paid tiers

More comparisons

All search databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update