StepZen provides a unique low code approach to creating GraphQL APIs for any data source—REST, SQL, NoSQL, SOAP/XML, and GraphQL. With one command, you can specify your backend; StepZen introspects it and generates the schema for you. Then, with a few lines of code and powerful directives (@rest, @dbquery), you can quickly customize a schema—or write one from scratch. Another directive (@materializer) lets you stitch graphs together, seamlessly scaling GraphQL across teams and domains. In addition, by using @materializer, you avoid managing concerns across subgraphs, writing stubs of types, and other complexities.
Whether you deploy a single graph or a federated graph-of-graphs, with one command, you deploy it to StepZen's highly available cloud. Automatic parallelized execution, security and control of your APIs and data, and performance and reliability optimizations are built-in. So we keep your GraphQL infrastructure secure and stable so you can focus on your business.
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StepZen and AWS AppSync excel at generating GraphQL APIs for MySQL and NoSQL databases. StepZen simplifies the process of combining multiple data sources, while AppSync provides smooth integration with AWS services and real-time data capabilities. - Source: dev.to / 4 months ago
StepZen is a platform to build and deploy GraphQL APIs that integrates and aggregate data from various sources. In the demo section, I will show how to build a GraphQL API in declarative code using StepZen. - Source: dev.to / almost 2 years ago
The final step is to use GraphQL. We'll create a free account on StepZen. Once logged-in, we can access the Account, Admin Key and API Key. - Source: dev.to / about 2 years ago
Have a look at https://stepzen.com, which allows you to federate any data source no matter the framework or service used to create it. It has a generous free tier. Source: over 2 years ago
When moving away from Apollo Server, and you're looking for a replacement built with JavaScript or TypeScript, let me give you some options. If you want to keep building your GraphQL API schema first, you might want to consider Mercurius (which relies on Fastify) or GraphQL Yoga. If you're going to build your GraphQL API code or resolver first, have a look at TypeGraphQL or Nexus. Alternatively, there are great... - Source: dev.to / over 2 years ago
'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 2 years 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 / almost 3 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 / almost 3 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 / almost 4 years ago
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