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A comment on PlanetScale increases plans to include billions of reads. Parent comment

Re:PlanetScale increases plans to include billions of reads by atombender on Thursday February 24, 2022 @05:25PM (#30461177)
They're not alone in this approach. BigQuery and DynamoDB also meter data usage based on the amount of data processed during a query.
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Re:PlanetScale increases plans to include billions of reads by mike_d on Thursday February 24, 2022 @05:57PM (#30461506)
BigQuery allows you to specify maximum billed bytes for a query to avoid situations like this. You can also purchase slots for fixed cost unlimited queries.
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Re:PlanetScale increases plans to include billions of reads by jzelinskie on Thursday February 24, 2022 @08:58PM (#30462862)
Authzed[0] also does somewhat similar with SpiceDB[1], but charges based on query complexity for the levels of nesting in the graph traversal, rather than the actual number of rows affect. A flat query is easy to compute, thus cheap.

[0]: https://authzed.com/pricing

[1]: https://github.com/authzed/spicedb

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Re:PlanetScale increases plans to include billions of reads by abd12 on Friday February 25, 2022 @07:25AM (#30466536)
One difference with DynamoDB is that there's no query planner, so you can have a pretty good sense of how many items you'll hit and how big that read is.
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Re:PlanetScale increases plans to include billions of reads by orf on Thursday February 24, 2022 @05:30PM (#30461231)
Athena as well
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