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Comment by kacy | Hacker News Reader

We’ve been using a Meilisearch for the last six months or so and have been delighted with its performance and usability. It uses a fraction of the resources as Elasticsearch, and the language support is extensive and very active.

That being said, our cluster is much smaller than other ones I’ve worked with in the past, so I can’t comment on its reliability at massive scale. I’ve also been very impressed with how active contributors are on GitHub and in their Discord. Everyone seems like good people, and it’s a project I’m excited to keep using.

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This is the thing I find when people post "ElasticSearch Alternative".

80% of ElasticSearch's value add (wrt search anyway) is all the clustering and frame work that allows you to span the search over tens or hundreds of machines "easily".

I think the same is true here. Probably the comparison should be with the underlying search libraries that ES sits on.

I suppose this comparison makes sense in a world where most people don't run their own servers much any more since the clustering etc would be a problem for the cloud offering and not the consumer.

> 80% of ElasticSearch's value add (wrt search anyway) is all the clustering

Or configurability. I looked at this again now that 1.0 is out, but besides the .NET client still being in an alpha state, it’s also very zero-configuration. There seems to be no configurability regarding tokenization strategies, for example.

Now, I certainly see the appeal, I barely understand my own ES code and meilisearch replicates probably 70% of it with no configuration at all, that’s impressive, but it also means that switching would mean giving up on those 30%.

Yeah, Elastic also brings advanced aggregates and filters, Kibana, nice UI where you can explore data and create dashboards easily and tons of bigger and smaller features. But in some areas both products are comparable.

This was the sense I got as well, though I have only started playing w/ Meilisearch. Clustering was one of the top 3 features that let Elasticsearch take over the market so quickly. In the playing around w/ Meilisearch I've done, it seems more like a replacement for something like Sphinx so far.

Thank you very much! I'll share your comment with the team <3

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