I want to use full text search in my project... Can anyone explain me, what is the difference between ElasticSearch and SQL Full Text Search
Or
why SQL Full Text Search is better (worse) than elastic?
documentations, presentations, schema...
Full-Text Search in SQL Server and Azure SQL Database lets users and applications run full-text queries against character-based data in SQL Server tables.
Overview. Full-text search queries and performs linguistic searches against documents. It includes single or multiple words or phrases and returns documents that match search condition. ElasticSearch is a search engine based on Apache Lucene, a free and open-source information retrieval software library.
Instead of having to search through the entire document or row space for a given value, the system can find that value in its internal index and immediately know which documents or rows contain it. This, of course, makes querying significantly faster.
Conclusion. Users searching full text are more likely to find relevant articles than searching only abstracts. This finding affirms the value of full text collections for text retrieval and provides a starting point for future work in exploring algorithms that take advantage of rapidly-growing digital archives.
Define "better"... sql full text search is fairly trivial to get working (indexing and query) - but it has penalties:
Elastic search requires more work; you need to setup and maintain a dedicated cluster of nodes, and then provide code that performs the actual index operations, which may also involve a scheduled job that works from a change-log (processing new / edited data), building the fragments to be indexed; equally, you need to then take more time building the query. But you get a lot of control over the index and query, and scalability (a cluster can be whatever size you need). If it helps any, Stack Overflow grew up on sql full text search, then moved into elastic search when the limitations (both features and performance) proved prohibitive.
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