And yes, I know what youâre thinking. âThis query is bananas, man. I would never run this in production!â. I know! I agree. The query is not particularly hard to understand, but if you try running it in a standard relational database, youâll see that as soon as you have a few thousand star rows, the execution time of the query balloons out of control. Although this query uses the relational model
I am excited to reveal our latest product, PlanetScale Boost, which makes your applicationâs queries up to 1,000Ã faster in just a few clicks. Building responsive, modern software often requires painful, tedious, error-prone caching logic to hide the latency of an expensive SQL query. Instead, PlanetScale Boost makes the queries you choose faster, with no additional logic and no infrastructure to
Want to learn more about Vitess, horizontal sharding, or Enterprise options? Talk to Solutions By Taylor Barnett, Matt Robenolt | August 18, 2022 Today we are introducing the PlanetScale serverless driver for JavaScript, a Fetch API-compatible database driver. This new driver and infrastructure update brings you: The ability to store and query data in PlanetScale from environments such as Cloudfla
There are many reasons you may need to move and/or transform your application data: to improve database performance, consolidate data, provide access to other teams in your organization to safely query data, and other reasons specific to your use case. This may seem straightforward to set up yourself, but this can be tedious and difficult to get right without impacting your production database. Wi
If you deploy your applications in regions around the globe and need to keep database read latency low, you will want to physically have a database nearby. With PlanetScale Portals, you can now create read-only regions to support your globally distributed applications and better serve your users worldwide. Put your data where your users and applications arePortals allow you to read data from regio
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