An open source platform which is used to build the search applications is known as Apache Solr. It is an open source search platform built upon a Java library, Lucene. It enables in indexing and searching multiple sites and return with the recommendations for the content based on the search query’s taxonomy. It is fast and highly scalable enterprise-ready search engine. The applications which are built using Solr are more sophisticated and deliver high performance.
Yonik Seely, in the process of adding search capabilities to the company website of CNET Networks, has created Apache Solr. It was declared as an open-source project under Apache Software Foundation in January 2006. The latest version of Solr 6.0 was released in 2016.
Solr is used along with Hadoop. As large amount of data is handled by Hadoop, Solr enables in getting the required information from the large source. Apart from search, Solr is also used for storage purpose. It is a non-relational data storage and processing technology.
In short, Solr is a scalable, ready to deploy, search/storage engine optimized to search large volumes of text-centric data.
Apache Solr search platform is built upon a Java library called, Lucene. Hence, all the features of Lucene are leveraged to Solr. Some of the important features of Apache Solr are:
It is not mandatory to have Java programming skills to work with Apache Solr. An excellent ready-to-deploy service is provided which builts a search box featured with autocomplete, which is not provided by Lucene. Apache Solr is used to scale, distribute, and manage index, for large scale (Big Data) applications.
A simple and powerful Java based search library is known as Lucene. To add the search capabilities, it is used in any of the applications. Lucene is a scalable and high-performance library used to index and search virtually any kind of text. Indexing and Searching, the core operations required by any search application are provided by Lucene library.
A search engine would become mandatory for a web portal with huge volume of data, to extract the relevant information from the huge pool of data. In such cases, Lucene works as a heart of the search application and provides the crucial indexing and searching operations.
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