#community-help

Comparing Hosting Benefits between Typesense Cloud and AWS

TLDR Satish inquired about comparing hosting benefits between Typesense Cloud and AWS. Jason explained the differences and cost considerations, assuring the easy migration process between the platforms.

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Dec 09, 2022 (9 months ago)
Satish
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Satish
06:02 PM
Hi there, do we have any quick guide to compare hosting benefits (and charges) between Typesense cloud and hosting it on AWS (EC2), we are a small startup and currently using OpenSearch but it is costing us a lot.
We don't have much traffic yet ( less than 1000 req per day) but we would like to have the solution resilient to handle more requests (around 50,000 per day) within 6 months.
Also would like to understand the migration process if we decide to migrate from Typesense cloud to EC2 or vice-versa.
Thanks
Jason
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Jason
06:58 PM
We don’t have a guide article on this topic at the moment, but essentially:

• We run the same binaries we publish open source in Typesense Cloud as well, so the core APIs and features are the same.
• But Typesense open source is an API-only product. In Typesense Cloud we provide a UI to explore the data, setup synonyms, aliases, overrides by pointing and clicking.
• In Typesense Cloud we take care of infrastructure, so as you scale, we can automatically scale your clusters for you (when you turn this setting on).
• In Typesense Cloud, we also offer a Search Delivery Network feature that works like a CDN, but we actually replicate the full dataset to multiple regions you choose, so your users around the world get a consistently fast search experience.
• Since we run the same binaries, you can migrate between self-hosted and Typesense Cloud by just exporting and importing data.
• In terms of cost, you’ll have to compare the pricing we publish on Typesense Cloud, with what it would cost on your hosting provider, plus add the engineering time required to self-host and manage infrastructure. In general, we find that once you add engineering time, Typesense Cloud becomes cheaper, because we’re able to amortize engineering time on our side across all customers, bringing down costs for all users.