Software Alternatives, Accelerators & Startups
Register | Login

Hazelcast VS GraphQL Cache

Compare Hazelcast VS GraphQL Cache and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java

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.
  • Hazelcast Landing page
    Landing page //
    2023-05-05
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29

Hazelcast videos

+ Add

Hazelcast Introduction and cluster demo

More videos:

  • Review - Comparing and Benchmarking Data Grids Apache Ignite vs Hazelcast
  • Demo - Hazelcast Cloud Enterprise - Getting Started Demo Video

GraphQL Cache videos

No GraphQL Cache videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Hazelcast and GraphQL Cache)

Hazelcast

GraphQL Cache

Databases
83 83%
Databases
17% 17
NoSQL Databases
82 82%
NoSQL Databases
18% 18
Key-Value Database
79 79%
Key-Value Database
21% 21
Relational Databases
100 100%
Relational Databases
0% 0

User comments

Share your experience with using Hazelcast and GraphQL Cache. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Hazelcast and GraphQL Cache

Hazelcast Reviews

HazelCast - Redis Replacement
Hazelcast IMDG provides a Discovery Service Provider Interface (SPI), which allows users to implement custom member discovery mechanisms to deploy Hazelcast IMDG on any platform. Hazelcast® Discovery SPI also allows you to use third-party software like Zookeeper, Eureka, Consul, etcd for implementing custom discovery mechanism.
Source: hazelcast.org

GraphQL Cache Reviews

We have no reviews of GraphQL Cache yet.
Be the first one to post

Social recommendations and mentions

Based on our record, GraphQL Cache seems to be more popular. It has been mentiond 4 times since March 2021. 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.

Hazelcast mentions (0)

We have not tracked any mentions of Hazelcast yet. Tracking of Hazelcast recommendations started around Mar 2021.

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 1 year 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 / about 2 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 / about 2 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 3 years ago

What are some alternatives?

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

WunderGraph - Save 2-4 weeks / 90% of the code building web apps by automating API integrations and security.

memcached - High-performance, distributed memory object caching system

Ehcache - Java's most widely used cache.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

EdgeDB - EdgeDB is a next-generation graph-relational database that lets you easily build flexible, scalable applications in real-time.

Loading...