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Based on our record, PlanetScale seems to be a lot more popular than GraphQL Cache. While we know about 100 links to PlanetScale, we've tracked only 4 mentions of GraphQL Cache. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Planetscale - Directly from their website: "PlanetScale is a MySQL-compatible serverless database that brings you scale, performance, and reliability — without sacrificing developer experience.". - Source: dev.to / about 1 month ago
PlanetScale is a MySQL-compatible database that offers scale, performance, and reliability, and many more powerful database features. Leveraging cloud-native architecture, PlanetScale enables organizations to deploy, manage, and scale MySQL-compatible databases with ease. With features such as automatic sharding, distributed transactions, and high availability, PlanetScale enables businesses to handle large... - Source: dev.to / about 1 month ago
For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon. - Source: dev.to / 3 months ago
Planetscale - PlanetScale is a MySQL-compatible, serverless database platform powered by Vitess, one database for free with 1 Production branch and 1 Development branch, 5GB storage, 1 Billion rows read/mo per database, and 10 Million rows written/mo per database. - Source: dev.to / 5 months ago
PlanetScale and Ghost were previously incompatible due to differences in their support for foreign key constraints. With PlanetScale now supporting foreign key constraints, a seamless collaboration between the two is achievable. Nonetheless, there remain minor incompatibilities that require resolution. - Source: dev.to / 6 months ago
'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 1 year ago
> Take a look at this. I repeat: client-side caching is not a problem, even with GraphQL. The technical problems regarding GraphQL's blockers to caching lies in server-side caching. For server-side caching, the only answer that GraphQL offers is to use primary keys, hand-wave a lot, and hope that your GraphQL implementation did some sort of optimization to handle that corner case by caching results. Don't take my... - Source: Hacker News / about 2 years ago
> Checkout Relay.js: https://relay.dev/ Relay is a GraphQL client. That's the irrelevant side of caching, because that can be trivially implemented by an intern, specially given GraphQL's official copout of caching based on primary keys [1], and doesn't have any meaningful impact on the client's resources. The relevant side of caching is server-side caching: the bits of your system that allow it to fulfill... - Source: Hacker News / about 2 years ago
This is clever! Can anyone help me understand how this lines up with the original value proposition of GraphQL? I was under the impression that the Big Idea behind GraphQL was, amongst other things, client-side caching[1]. I’m probably missing some nuance here, so bear with me: if your GraphQL client is caching properly, then what would this syntax give a developer that a URL query parameter parser couldn’t? [1]... - Source: Hacker News / about 3 years ago
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