Apache Solr
Apache Solr is a popular, open source enterprise search platform built on Apache Lucene. It provides full-text search, hit highlighting, faceted search, dynamic clustering and database integration. Solr powers the search and navigation features of many large websites and applicat
Apache Solr: Open Source Enterprise Search Platform
Apache Solr is a popular, open source enterprise search platform built on Apache Lucene. It provides full-text search, hit highlighting, faceted search, dynamic clustering and database integration. Solr powers the search and navigation features of many large websites and applications.
What is Apache Solr?
Apache Solr is a highly reliable, scalable and fault tolerant search engine. It provides distributed searching, indexing and load-balanced querying for large scale data sets. Solr is the popular enterprise search server based on the Lucene Java search library.
Key features of Solr include:
- Full text search
- Hit highlighting
- Faceted search
- Dynamic clustering
- Database integration
- Rich document handling (Word, PDF, XML, etc)
- Custom user interfaces
- Scalability and fault tolerance
- Advanced caching
- Latest search features (relevancy tuning, spell checking, autocorrect, etc)
Solr powers the search and navigation features of many large websites and applications. Major web sites and organizations using Solr include Netflix, Best Buy, Instagram, Apple, Bloomberg and the United Nations. It can handle high volume traffic with fast response times.
Solr is highly flexible and customizable to specific search requirements. It has REST-like HTTP interfaces to enable communication between Solr and applications. There is also an advanced Admin UI and dashboard for managing Solr servers and indexes.
Solr runs as a standalone full-text search server. It uses the Lucene Java search library at its core for full-text indexing and search, and has a plethora of APIs for extensive customization. Solr is written in Java and runs as a standalone JVM instance.
Apache Solr Features
Features
- Full-text search
- Hit highlighting
- Faceted search
- Dynamic clustering
- Database integration
Pricing
- Open Source
Pros
Open source
Scalable
Fast search performance
Rich features
Large user community
Cons
Steep learning curve
Complex configuration
No built-in GUI
Requires expertise to tune and optimize
Official Links
Reviews & Ratings
Login to Review3.8
★
★
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★
17 reviews
Rating Breakdown
Ease of Use
★
★
★
★
★
2.4
Features
★
★
★
★
★
4.9
Value for Money
★
★
★
★
★
4.5
Customer Support
★
★
★
★
★
2.9
Overall Experience
★
★
★
★
★
3.6
Recent Reviews
C
Chris Miller
Mar 27, 2026
★
★
★
★
★
A Powerful and Scalable Search Engine for Our Enterprise
We've been using Apache Solr to power the search functionality on our high-traffic e-commerce site for over a year now. Setting it up required some Java and system administration knowledge, but once configured, it has been incredibly reliable and fast. …
J
Jordan Jackson
Mar 27, 2026
★
★
★
★
★
Powerful search engine that requires technical expertise
We've been using Solr for two years to power search on our e-commerce platform, and it handles millions of products flawlessly. The faceted search and hit highlighting are fantastic for user experience, though the initial setup and tuning required significant …
P
Phoenix Miller
Mar 25, 2026
★
★
★
★
★
A robust and reliable search platform, but have a plan for scaling
We've been using Solr to power the search for our main product catalog for the past three years, and it has been a powerhouse for us. The performance on large datasets is exceptional, and the faceting and filtering capabilities are …
C
Chris King
Mar 25, 2026
★
★
★
★
★
Powerful but Painfully Complex
I spent weeks trying to get a basic Solr cluster running and indexing efficiently. The learning curve is incredibly steep, even for a senior developer. The official documentation is sprawling but often out of date or assumes you already think …
Q
Quinn Chen
Mar 25, 2026
★
★
★
★
★
Powerful but Complex and Resource-Hungry
The search and faceting capabilities of Apache Solr are incredibly powerful and can handle massive datasets, but the learning curve is incredibly steep. Configuration is complex, requiring deep dives into XML and schema files. We've had significant issues with indexing …
Rating Distribution
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