Elasticsearch provides a few built-in analyzers. Here’s a breakdown of each and where best to use it.

No Analyzer

Disabling the Analyzer will store your data with no tokens and can only be searched by exact matches of the full text in the document.

Best Use
Useful for single words and short phrases where searching is not necessary, for instance to populate a dropdown

Standard Analyzer

The standard analyzer divides text into terms on word boundaries, as defined by the Unicode Text Segmentation algorithm. It removes most punctuation, lowercases terms, and supports removing stop words.

Best Use
Useful for most applications where stop words and exact phrases are not required in searches.

Simple Analyzer

The simple analyzer divides text into terms whenever it encounters a character which is not a letter. It lowercases all terms.

Best Use
Useful for searches that do not want to consider numbers, UTF characters, 

Whitespace Analyzer

The whitespace analyzer divides text into terms whenever it encounters any whitespace character. It does not lowercase terms.

Best Use
TBD

Stop Analyzer

The stop analyzer is like the simple analyzer, but also supports removal of stop words. The English stop words are:

a, an, and, are, as, at, be, but, by, for, if, in, into, is, it, no, not, of, on, or, such, that, the, their, then, there, these, they, this, to, was, will, with.

Best Use
TBD

Keyword Analyzer

The keyword analyzer is a “noop” analyzer that accepts whatever text it is given and outputs the exact same text as a single term.

Best Use
TBD

Pattern Analyzer

The pattern analyzer uses a regular expression to split the text into terms. It supports lower-casing and stop words.

Best Use
TBD

Language Analyzers

Elasticsearch provides many language-specific analyzers like english or french.

Best Use
TBD

Fingerprint Analyzer

The fingerprint analyzer is a specialist analyzer which creates a fingerprint which can be used for duplicate detection.

Best Use
TBD