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A comment on DuckDB-Wasm: Efficient analytical SQL in the browser. Parent comment
It's targeting use cases where you want to push analytical computation away from servers into the client (browser).
Lets me sketch 2 examples:
A) You have your data sitting in S3 and the user-specific data is in a browser-manageable area.
(E.g. this paper from Tableau research actually states dataset sizes that should fall into that category: https://research.tableau.com/sites/default/files/get_real.pd...)
In that scenario, you could eliminate your central server if your clients are smart enough.
B) You are talking about larger dataset sizes (GB) and want to explore them ad-hoc in your browser.
Uploading them is unrealistic and installing additional software is no longer ad-hoc enough.
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It's targeting use cases where you want to push analytical computation away from servers into the client (browser).
Lets me sketch 2 examples:
A) You have your data sitting in S3 and the user-specific data is in a browser-manageable area.
(E.g. this paper from Tableau research actually states dataset sizes that should fall into that category: https://research.tableau.com/sites/default/files/get_real.pd...)
In that scenario, you could eliminate your central server if your clients are smart enough.
B) You are talking about larger dataset sizes (GB) and want to explore them ad-hoc in your browser.
Uploading them is unrealistic and installing additional software is no longer ad-hoc enough.