Software Alternatives, Accelerators & Startups

GraphQL Cache VS WunderGraph

Compare GraphQL Cache VS WunderGraph and see what are their differences

GraphQL Cache logo GraphQL Cache

GraphQL provides a complete description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

WunderGraph logo WunderGraph

Save 2-4 weeks / 90% of the code building web apps by automating API integrations and security.
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29
  • WunderGraph Landing page
    Landing page //
    2023-08-27

GraphQL Cache features and specs

No features have been listed yet.

WunderGraph features and specs

  • API Integration
    WunderGraph simplifies the integration of various APIs by automatically generating queries and mutations. This reduces the time and effort required to manually integrate and maintain multiple API connections.
  • GraphQL Support
    It provides first-class support for GraphQL, enabling developers to leverage GraphQL's powerful querying capabilities for better data retrieval and interaction.
  • Type Safety
    The tool offers strong type safety out of the box, which helps in catching errors at compile time and ensures a more robust application.
  • Real-time Capabilities
    WunderGraph supports subscriptions and live queries, providing real-time updates to applications, which is crucial for apps that require live data feeds.
  • Serverless Deployment
    The platform supports serverless deployment, which can simplify the scaling process and reduce the operational overhead for maintaining infrastructure.

Possible disadvantages of WunderGraph

  • Learning Curve
    For developers who are new to the tool, there is a learning curve involved in understanding and effectively utilizing all of WunderGraph's features.
  • GraphQL Overhead
    While GraphQL provides flexibility, it can introduce overhead compared to RESTful APIs, particularly in scenarios where simple CRUD operations are needed.
  • Limited Community Support
    As a relatively newer technology, WunderGraph might have less community support compared to more established tools, which can make troubleshooting and finding resources more challenging.
  • Complex Configurations
    Setting up and configuring advanced features could be complex and time-consuming, particularly for smaller projects or teams with limited experience in API management.
  • Potential Vendor Lock-In
    Relying on a specific solution like WunderGraph could lead to vendor lock-in, where migrating away from the service could be difficult if business needs change.

GraphQL Cache videos

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WunderGraph videos

#WunderGraph Show & Tell #3 - Secrets, Multi-Region Deployments, Create WunderGraph App, and more...

Category Popularity

0-100% (relative to GraphQL Cache and WunderGraph)
NoSQL Databases
100 100%
0% 0
API
0 0%
100% 100
Databases
100 100%
0% 0
GraphQL
14 14%
86% 86

User comments

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Social recommendations and mentions

Based on our record, WunderGraph seems to be a lot more popular than GraphQL Cache. While we know about 55 links to WunderGraph, 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.

GraphQL Cache mentions (4)

  • What are the Differences between GQL and REST?
    'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 2 years ago
  • GraphQL Is a Trap?
    > 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
  • GraphQL Is a Trap?
    > 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
  • Designing a URL-based query syntax for GraphQL
    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

WunderGraph mentions (55)

  • An Introduction to Cosmo Router — Blazingly Fast Open-Source Federation V1/V2 Gateway
    Today, we’ll look at WunderGraph Cosmo ’s high-performance, open-source, Federation V1/V2 compatible Router. We’ll cover what it does, why it’s so important to the Cosmo stack, how you can host it yourself, and even customize and extend it with Go code of your own. - Source: dev.to / about 2 months ago
  • GraphQL Federation Field-level Metrics 101
    To demonstrate field usage metrics in Federation, I’ll be using WunderGraph Cosmo — a fully open source, fully self-hostable platform for Federation V1/V2 that is a drop in replacement for Apollo GraphOS. - Source: dev.to / over 1 year ago
  • You do need a technical co-founder
    The inverse is also true. As a technical founder, and maybe even an introvert like me, you should definitely look for a non-technical co-founder who can help you with networking, etc... I found my dream co-founder through YC Co-founder match and what can I say, it's going great. We're focusing on enterprise GraphQL/API solutions (https://wundergraph.com) and I benefit from the networking and communication... - Source: Hacker News / over 1 year ago
  • The Road to GraphQL At Enterprise Scale
    GraphQL Gateway is primarily responsible for serving GraphQL queries to consumers. It takes a query from a client, breaks it into smaller sub-queries, and executes that plan by proxying calls to the appropriate downstream subgraphs. When we started our journey, there was only Apollo Federation in the arena, and we used it. Still, now you can look at other options (e.g. Mercurius, Conductor, Hot Chocolate,... - Source: dev.to / over 1 year ago
  • tRPC – Move Fast and Break Nothing. End-to-end typesafe APIs made easy
    I'm a big fan of tRPC. It's amazing how it pushed TypeScript only stacks to the limit in terms of DX. Additionally, it made the GraphQL community aware of the limitations and tradeoffs of the Query language. At the same time, I think tRPC went through a really fast hype cycle and it doesn't look like we're seeing a massive move away from REST and GraphQL to RPC. That said, we see a lot of interest in RPC these... - Source: Hacker News / over 1 year ago
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What are some alternatives?

When comparing GraphQL Cache and WunderGraph, you can also consider the following products

Ehcache - Java's most widely used cache.

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

Hazelcast - Clustering and highly scalable data distribution platform for Java

StepZen - A low code way to create GraphQL APIs for any backend—REST, SQL, NoSQL, SOAP/XML. Deploy a single or federated graph to StepZen's cloud and run with built-in parallel execution, security for APIs and data, and performance & reliability optimizations.

Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...

Stellate.co - Everything you need to run your GraphQL API at scale