AWS AppSync vs Prisma Cloud: What are the differences?
AWS AppSync: A managed GraphQL service with real-time data and offline programming. AWS AppSync automatically updates the data in web and mobile applications in real time, and updates data for offline users as soon as they reconnect. AppSync makes it easy to build collaborative mobile and web applications that deliver responsive, collaborative user experiences; Prisma Cloud: One tool for your entire team to work with Prisma. One tool for your entire team to work with Prisma. Manage deployments and securely access data in the databrowser.
AWS AppSync and Prisma Cloud can be categorized as "GraphQL as a Service" tools.
Some of the features offered by AWS AppSync are:
- Uses GraphQL
- Real-time data access and updates
- Offline data synchronization
On the other hand, Prisma Cloud provides the following key features:
- Work together as a team with access control features
- Deep integration with Cloud providers
- Easily visualize and explore your data
"Offline" is the top reason why over 2 developers like AWS AppSync, while over 36 developers mention "Easy to use" as the leading cause for choosing Prisma Cloud.
According to the StackShare community, AWS AppSync has a broader approval, being mentioned in 12 company stacks & 10 developers stacks; compared to Prisma Cloud, which is listed in 9 company stacks and 3 developer stacks.
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If you have any experience setting up a GraphQL server on your own, you'll quickly realize the value of GraphCool and its subtle simplicity. But make no mistake: simple DOES NOT mean less capable. Unlike some other BaaS competitors which can't scale beyond the chat application, GraphCool's abstractions are incredibly powerful and allow you to deliver on real-world scenarios with the benefit of never managing your own servers. Basically, you get to keep your cake and eat it too. I always worry about if I'll have to switch to my own backend, but so far that day hasn't come. Oh, last but not least: the team behind GraphCool is amazingly supportive. You literally have access to the people making it, and they love to help. Overall, I'm very excited about what comes next from this amazing platform. If the past is any predictor of the future, it's bound to be good.
Getting to grips with GraphQL is notoriously tricky.
After figuring out the many different libraries, you quickly run into issues with Relay compatibility, mapping GraphQL to a back-end data store, resolving the O(n) problem of recursive queries, rate limiting, and more.
Graphcool is a service that figures out this stuff for you. You can map your data visually, and Graphcool pops out a URI for both 'regular' and 'Relay' endpoints, that you can copy and paste into your GraphQL front-end. It's ridiculously simple.
I use it alongside my ReactQL starter kit (https://reactql.org) for every new project that a user installs. It works out-the-box with zero configuration, and no server required.
Whether you're rapidly prototyping, or simply ready to move your production data to a managed cloud service, Graphcool is worth a look.
Graphcool saves a ton of time during development. It's very easy to define a data model and tie it into an existing codebase using their webhook mechanism.
Graph.cool handles all your backend needs, from a back-of-the-napkin idea all the way to a production system with customers.
Graphcool is a great database backend! It is super easy to add different frontends to connect to it!