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Ask HN: Are Lucene/Solr/ES Still Used for Search?

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Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#112

Post by james-skemp »

alasano wrote: post #57
james-skemp wrote: post #12

The Sitecore CMS moved from License to Solr for search for on-prem instances. After trying to run it on Windows we were happy there was a third party provider that was easy to work with.

For Sitecore I will shamelessly plug Coveo for Sitecore: https://www.coveo.com/en/solutions/coveo-for-sitecore I think that we definitely have the best integrated and most full featured solution for Sitecore customers. It's not only about querying but also having a UI framework, built-in customizable indexing, analytics tracking and access to machine learning available in one package. Source: Am product manager for C…

Based upon community responses (and someone from the organization being in the Slack group and responding as well), we ended up going with SearchStax.

I work at a state university (with the associated purchasing ... issues :)) and we had some staffing issues, which they were very accommodating of from initial quote to subscription.

If we end up running into issues as/if we expand our usage (we're essentially only using Solr for the mandatory bits) I'll keep Coveo in mind. :)

Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#114

Post by pornel »

bpicolo wrote: post #48
busterarm wrote: post #33

Earlier quoted context omitted.

There's folks working on Bleve (written in Go) and developers that I work with want to use it (we use Elasticsearch heavily), but as I've told everyone like you just did, Lucene has a 20 year head start. Thing is, there's heavy demand for something more performant than Elasticsearch, so eventually the market will provide. Meanwhile, Redis Enterprise is trying to grab some 'share with RediSearch, which has some severe…

Tantivy is an interesting project I'd point to in this space: https://github.com/tantivy-search/tantivy That said - it's effectively Lucene rewritten in rust, so the main win is some performance gains. Lucene has spent a ton of time getting the details right, and it's unlikely we'll see an order of magnitude of innovation in that particular space. At the higher level for querying / query understanding it feels like t…

Seconded Tantivy. Very easy to set up and maintain, and faast.

Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#115

Post by leetrout »

dynamite-ready wrote: post #53

Xapian. C++ based. I really like the API.

I came looking for a Xapian comment. It is HIGHLY underrated.

I love the "just works" functionality and portability.

At a previous job we had two existing options for search, Postgres GIN or the heavyweight ES cluster with Kafka. When I recommended grabbing Xapain for simple indexing (2-4k records, toss the index whenever we needed an update was OK) no one would bite.

Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#116

Post by bratao »

simplechris wrote: post #100
bratao wrote: post #5

From my experience, yes. Lucene is a "production" state of art library and Solr/Elasticsearch is very used in many scenarios. This expertise is very on demand. My company personally migrated from ElasticSearch to https://vespa.ai/ and could not be happier. Faster and way easier to maintain a cluster. The "Application Packages" feature present in Vespa opened many opportunities to improve our product( Curiously we use…

I am very interested in hearing about your experiences migrating to vespa. When it was opensourced we all thought it would be an absolute game-changer, but I see so few people building new products (or migrating existing products to) vespa.

You can contact me. I'm also planning to do a blog post comparing with Solr and Elasticsearch. I think that naturally it takes some time to adopt a solution like that. And the ecosystem it still at it infancy. But, randomly, a project using Vespa appeared in my GitHub timeline today (https://github.com/rdoume/News_API). So, the adoption is increasing.

For me Vespa is a absolute game-change, in features and as someone said here, ES looks like it intentionally complicated to maintain. With nodes randomly getting unhealthy. Vespa is like Redis to me. I completely forgot about maintaining it and works great.

It makes a world of difference in our product, and I take every opportunity to evangelize it.

Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#117

Post by pQd »

altendo wrote: post #78

Are people still using Sphinx Search ( http://sphinxsearch.com ) at all? It doesn't seem like it gets many releases anymore...since they unpublished the source code, it's hard to see how much activity there is.

https://manticoresearch.com/ is the lively, open source, fork of Sphinxsearch. that's where some of the earlier developers from the project moved to. it's used as a text-search backend on craigslist.

Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#118

Post by porker »

This has been a great thread, and there's some heavyweight indexes here. But what about at the other end of the scale?

Say when you've got 10k-50k contact details (name, email, phone) and you want to provide a quick, autocomplete lookup. I've used basic SQL string matching for this, but it doesn't catch mis-spellings and the rest.

Running SOLR or ES is overkill for this. Is there a tool that fits this niche?

Re: Ask HN: Are Lucene/Solr/ES Still Used for Search?

#120

Post by noir_lord »

porker wrote: post #118

This has been a great thread, and there's some heavyweight indexes here. But what about at the other end of the scale? Say when you've got 10k-50k contact details (name, email, phone) and you want to provide a quick, autocomplete lookup. I've used basic SQL string matching for this, but it doesn't catch mis-spellings and the rest. Running SOLR or ES is overkill for this. Is there a tool that fits this niche?

Postgres does lexemes and all that jazz natively.

You want to be looking for tsvector related stuff.

I used it a few years ago to do full text search on a smallish website and it was great, I gather it has improved further since.

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