Short answer: I don't know.
Medium answer: I'm sure each vendor would claim superiority or, if losing
in perf, would bring up functionality their tool has that others do not
True answer: you would really have to test it yourself. There are a
million ways to do comparative benchmarks and lots of different use cases,
that it's impossible to test them all and provide truthful reports.
What I can say though is that OSS search engines like ES and Solr can be
very fast if you know how to use them. For example, Sematext had a
client recently whose initial queries against a 500K doc index took 90
seconds. We changed the structure of the index in a way that may have
seemed crazy to some and ended up with 10x "taller" index that was
returning results in just a few seconds on a single machine. So since
open-source engines are free to use, you should simply try them out and see
if they are fast enough for you, for your use case. I'll bet my left
pinkie that you'll find they'll be plenty fast. And if they are not, you
can get help on this ML or from companies that provide ES consulting
ELASTICSEARCH Performance Monitoring - http://sematext.com/spmhttp://sematext.com/spm/index.html
On Thursday, May 23, 2013 5:10:09 AM UTC-4, Paul wrote:
Probably not the best place here to ask. maybe quora.
Apart from the cost and support, what about performance?
On Thursday, May 23, 2013 3:29:11 AM UTC+8, Otis Gospodnetic wrote:
Hm, that's a pretty big question. For one, open-source engines are
But maybe you have specific requirements or features you want to inquire
ELASTICSEARCH Performance Monitoring - http://sematext.com/spm/index.html
Search Analytics - http://sematext.com/search-analytics/index.html
On Tuesday, May 21, 2013 10:17:45 PM UTC-4, Paul wrote:
How would you compare community-based search engines (ES, Apache Lucene)
with Commercial Enterprise Search (IBM, EMC, Oracle Endeca - MDEX
Engine, etc) ?
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