Lucene is most powerful and widely used Search engine. Here is the list of 7 search engines which is built on top of Lucene. You could imagine how powerful they are.
Solr and Elastic Search are built on top of Lucene. Both are open source and both have extra features which makes programmer life easy. This article explains the difference and the best situation to choose between them.
Solr and Elastic Search both are built on top of Lucene library. Both are compratively equal. Any new feature / enhancement which get introduced in Lucene, will also get added to Solr. But still Elastic Search which uses Lucene as it core gained more popularity than Solr in recent years.
The release 4.0 is one of the important milestone for Lucene and Solr. It has lot of new features and performance important. Few important ones are highliggted in this article.
Lucene and Solr are most popular and widely used search engine. It indexes the content and delivers the search result faster. It has all capabilities of NoSQL database. This article describes about its pros and cons.
Enterprise search software should be capable to search the data available in the entire organization or personnel desktop. The data could be in File system, Web or in Database. It should search contents of Emails, file formats like doc, xls, ppt, pdf and lot more. There are many commercial products available but LucidWorks and SearchBlox are best and free.
Lucidworks Enterprise search solution is built on top of Apache Solr. It scales seamlessly w/sub-second response times under extreme query loads for multi-billion document collections. It has user friendly UI, which does all the job of configuration and search.
Lucene is a search library built in Java. Solr is a web application built on top of Lucene. Certainly Solr = Lucene + Added features. Often there would a question, when to choose Solr and when to choose Lucene.
Solr is a search engine built on top of Lucene. It supports REST interface and has lot of built-in capabilities. Solr package has Admin UI interface which has support to perform query and even delete the contents of the index. If you are using Solr in production then you may need to restrict access. I saw couple of questions in the group related to this topic. Thought to write an article explaining few tips to restrict the user access to Solr admin UI.
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