Hello, I'm Quentin, Meilisearch's CEO. Meilisearch Cloud is encrypted at rest. We're using, at this time, a k8s with replicated and encrypted persistent volumes. We just didn't talk about it yet.

Hi Quentin, thank you for your reply. I was just referring to this comment of yours: https://github.com/meilisearch/MeiliSearch/discussions/870#d.... It is good to hear that Meilisearch cloud is encrypted though. Will definitely keep an eye on Meilisearch for future projects.

Hi Quentin, 2 small questions. When can we expect cluster/sharding support? Glad to see there’s a new release to fix slow indexing issues and support has been added for Thai. Which languages still need adding? Keep up the good work!

Hello, I would love to know what are your needs/limitations that makes you ask for cluster/sharding. Meilisearch is cloud-native, so we don't need clusters of machines to provide a highly available solution. By default, our service is highly available and vertically scalable. We don't have geo-replication today, but it will come later in 2023. I don't know your need for scalability, but we can handle almost every use case. You may only be in an Enterprise plan.

We support almost all languages. The only thing is that in some languages, without help and intervention from the community, we stop when our level of comprehension is not enough. Today we handle perfectly Latin-based languages and all languages that are space separated. We have also worked with the community to improve Chinese, Japanese, Thai, and Korean, which is under review.

Let’s say I have 10TB of data that I want to make searchable, and want to self host, what are my options with Meilisearch?

Can I get your use case? What is the data you have to index? If it's logs, indeed, Meilisearch will not be the best fit. I would recommend https://quickwit.io. If it's structured or unstructured data, even if 10TB seems huge for our use cases, I would love to put you in contact with my engineering team. We would find a way to manage it.

There is "Run in production" guide in Meilisearch documentation https://docs.meilisearch.com/learn/cookbooks/running_product... It uses DigitalOcean, but self-hosting in the right environment should work in a close way.

Thanks for the link! I however still don’t know how I’d be able to scale meilisearch to index terabytes of data.

I'm curious also about your use case (disclaimer, I'm one of the cofounder of Quickwit). Do you want simple search with a basic UI? Or some dashboarding with grafana for example?

Thanks @qdequelen for pointing out Quickwit :)