Lucene and Solr can be considered as an open backbone for users who have the freedom to plug-in the best tool for their work. This is because enterprises search platforms like Apache Lucene offers higher order processing techniques like metadata generation, applying taxonomies, and doing relevance testing on a regular basis.

Open source search platforms Lucene and Solr are uniquely positioned to fuel intelligent searches. These platforms bring down the cost of experimentation because it less takes effort to implement them. These platforms take immediate charge of the user domains and provide efficient search results.

Also, open source search platforms like Lucene provides organizations with cost effective solutions that fill in infrastructure and enable them to use resources for their core competencies. Lucene and Solr platforms offer support, training and professional services to user organizations. Using Solr, the Lucene open source search engine, users can themselves build a search engine from scratch.

Lucene and Solr provide the benefit of low cost of experimentation, which incidentally becomes the organization’s only direct labor costs. They also provide features like: 1. Classifier features 2. Co-occurrence information 3. Research-oriented Question Answering system 4. Arabic-English cross language search system for sentiment analysis. Lucene and Solr have given users the liberty to take untested ideas and work on them.

Solr, especially, makes it simple to plug-in these capabilities through its well defined plug-in architecture.It supports searches that goes beyond simple keyword capabilities-is, which has now become the leading edge of the field and is being adopted by Apache Lucene. Whether it is intelligent query parsing, better faceting and discovery capabilities or integration with natural language processing (NLP) tools for NER (Named Entity Recognition), sentiment analysis and relationship discovery, Lucene and Solr bring together a variety of approaches to solve the problem at hand.

Solr installation requires index functions that were only a mere fraction of the size of the proprietary solution. This provides users the benefit of dealing with less hardware to achieve the same throughput, less operations costs, faster indexing, faster queries, etc.

In short, using Lucene or using Solr offers a cost effective and fully capable mechanism for improving the efficiency of enterprise searches.