Apache Solr
Apache Solr: The high-performance, open-source search platform for full-text, vector, and geospatial search
About Apache Solr
Apache Solr is a blazing-fast, open-source search platform built on Apache Lucene. It offers distributed indexing, replication, and load-balanced querying, making it highly reliable, scalable, and fault-tolerant. Solr powers search and navigation for some of the world's largest websites and supports multi-modal search capabilities, including full-text, vector, and geospatial search.
FAQ
Apache Solr is an open-source, multi-modal search platform built on Apache Lucene. It offers full-text, vector, and geospatial search capabilities, making it highly reliable, scalable, and fault-tolerant.
You can start by downloading the Solr binary from the available mirrors or following the Solr Quick Start tutorial to begin working with Solr.
Yes, Solr is designed to scale with confidence in data integrity and performance. It provides distributed indexing, replication, and load-balanced querying, making it ideal for large-scale deployments.
You can containerize your Solr deployments with Docker or automate the deployment using Kubernetes. Links to try out Docker and explore Kubernetes options are provided in the resources section.
Support for Solr can be found through mailing lists, issues (JIRA), and by contributing to the Solr project. The community is active, and resources are available to help you get support.
Solr offers hundreds of features, including data handling, querying, faceting, discovery, plugins and extensions, statistics and aggregations, spatial search, rich content handling, and performance optimization.
Yes, Solr is trusted and powers some of the most heavily-trafficked websites and applications in the world. It is proven and tested for enterprise use.
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