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Apache Solr project preview
Developer ToolsAlternative to Amazon CloudSearchAlternative to ElasticsearchAlternative to Algolia

Apache Solr

Enterprise search server built on Apache Lucene with distributed indexing and faceted search.

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LicenseApache-2.0
GitHub stars3.5k
Last commit1 weeks ago
Tags6 topics
Distributed SearchJava SolrEnterprise SearchLucene ServerDeveloper ToolsFaceted Search
Overview

Why consider Apache Solr?

Apache Solr is the open-source enterprise search platform built on Apache Lucene in Java. Highly reliable, scalable, and fault tolerant, Solr provides distributed indexing, replication, load-balanced querying, automated failover, and faceted filtering.

Guided learning

Learn Apache Solr by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Apache Solr

Apache Solr powers complex enterprise catalogs and e-commerce search with granular faceted navigation attributes.

Docker Quickstart

bash
1docker run -d -p 8983:8983 --name my_solr solr:latest

Apache Solr is licensed under the Apache License Version 2.0.

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Apache Solr FAQs

Apache Solr is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Apache Solr is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Apache Solr is listed as an alternative to Amazon CloudSearch. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.