Elasticsearch is an Open Source (Apache 2), Distributed, RESTful, Search Engine based on Lucene.
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Elasticsearch configuration properties are key to it's elasticity. If the default configurations are working perfectly adequately for you in the current state of your application’s evolution, rest assured that you’ll have plenty of levers available to you as your application grows.
In this article we would learn how to add power of ElasticSearch to your ASP.Net application using NEST. It covers the basics of setting up ElasticSearch, creating an index, indexing data and searching the same data.
Comparisons between tools should always be taken with a grain of salt. General comparisons may not address features that are important for your specific use case, or may overemphasise aspects that you don’t care about. In addition, actively developed tools are moving targets.
Remember that Elasticsearch is a text based search engine built on top of Lucene. The wide range of operations available in Lucene is made easily usable and applicable in Elasticsearch by encapsulating them effectively into simple APIs.
Elastic Search (ES) is a powerful Full Text Search Engine based on Apache Lucene . A key characteristic of Elastic Search is that it’s distributed at it's core, meaning that you can easily scale it horizontally for the purpose of redundancy or performance.
Although SQL Server's Full-Text search is good for searching text that is within a database, there are better ways of implementing search if the text is less-well structured, or comes from a wide variety of sources or formats.
This is intended as a general guide for non-experts trying to gain an understanding of full-text search. I’ve tried to cover the important concepts we had to learn, implement, re-implement and endlessly explain during our short project.