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I actually have 200 GB of data indexed on MongoDB, spread over 2 columns, each containing one string.

The user search for 'cowboy', if this string is found anywhere, it returns the content.

i.e: Description / Name

'cowboyis-xz' / 'foo' 
'lorem lipsum..cowboy.' / 'bar' 

-> FOUND: 'cowboyis-xz' / 'toto'
-> FOUND: 'lorem lipsum..cowboy.' / 'bar' 

I'm looking for the most efficient way to make a full text search with a DB respecting those criteria:

  • Fastest research with any pattern (so with a minimum of complexity)
  • Through dozens of billions of row (~ 500 GB to 2 TB of data)
  • With fixed data structure (2 columns, maybe 3 or 4 in the future)
  • With fast data imports

What would be the fastest way to make full text searches ?

I'm comparing those technologies :

  • ElasticSearch / Sphinx
  • "Text" index on MongoD
  • FULL TEXTfunctionality on MySQL

If anyone has already tried / benchmarked those DB & search engines for that kind of needs, I would really appreciate your help.

Thanks!

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