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Comment by Ralfp | Hacker News Reader

Major problem with Postgres full-text search that those articles don't dwell into too much is that unless your documents are in one of the "chosen languages", you are more likely to find support for your language in search engine (like ElasticSearch) than get it on PostgreSQL.

You can convert existing dictionaries available to format Postgres understand, but this is annoying pain point if you happen to be an open source project like CMS or communication platform.

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I don't get the hype about elasticsearch at all. Elasticsearch is more suited to searching logs. It doesn't have powerful sort functions, doesn't allow you to use multiple sort parameters etc.

Apache Solr is more suited to search. Lots of document filters, query filters, the index itself is highly configurable and the ability to sort on multiple parameters is great. LTR is also something too good to miss out on.

Can you explain what you mean by "multiple sort parameters" because it looks like you can to me in ES [1]. There is a well maintained LTR plugin for ES. Honestly Solr and ES are more similar than different. There are a few things Solr has which ES doesn't and the reverse is true too.

1. https://www.elastic.co/guide/en/elasticsearch/reference/curr...

Thanks for letting me know about Elasticsearch LTR.

Both solr and elasticsearch use lucene to index.

ES doesn't expose as many knobs last I checked.

The difference is in the size of your Sales team.

Lot of open source projects would benefit, if they had dedicated sales teams contacting firms day in, day out talking about their features.

People who run IT departments in the Enterprise world or even small firms lacking resources to keep up, just pick tools and make software decisions based on who reaches out to them.

Invest in a sales team and you penetrate markets that don't spend time monitoring developments in the tech world which is really the majority of all orgs. Elastic has done that quite well and is reaping the rewards.

Nonsense, Elasticsearch does all these things (and extremely well too). These are core lucene features. I'm not aware of any much that Solr does that Elasticsearch does not. And yes, I've used both.

Solr was there earlier. In many ways, Elasticsearch was a response to stuff Solr did not do, or did not do well. Like clustering for example. Solr has of course added this since then.

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