Want to make sure your Solr-based applications always run at peak performance? Written in Java, Solr has RESTful XML/HTTP and JSON APIs and client libraries for many programming languages such as Java, Phyton, Ruby, C#, PHP, and many more being used to build search-based and big data analytics applications for websites, databases, files, etc. Solr, however, is more than a search engine - it’s also often used as a document-based NoSQL database with transactional support that can be used for storage purposes and even a key-value store. An Apache Lucene subproject, it has been available since 2004 and is one of the most popular search engines available today worldwide. What Is Apache Solr?Īpache Solr (stands for Searching On Lucene w/ Replication) is a free, open-source search engine based on the Apache Lucene library. Find out what is Apache Solr, how does it work, and what is used for. So let’s dive in and “strip” Solr to the basics.
That’s where Apache Solr comes in – to help smooth users’ search experience with features such as autosuggest in search fields, range or category browsing using facets, and more. DevOps need to look beyond the traditional databases with complicated and non-user-friendly (even if smart and innovative) SQL query-based solutions to implement search functionality. While encompassing huge amounts of data, they need to allow the end-user to find what they’re searching for without delay.
The ability to search is a key feature of most modern applications.
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