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GraphQL Cache VS Hazelcast

Compare GraphQL Cache VS Hazelcast and see what are their differences

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  3. » Reviews
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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 logo Hazelcast

Clustering and highly scalable data distribution platform for Java
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29
  • Hazelcast Landing page
    Landing page //
    2023-05-05

GraphQL Cache features and specs

No features have been listed yet.

Hazelcast features and specs

  • Scalability
    Hazelcast is designed to scale out horizontally with ease by adding more nodes to the cluster, providing better performance and reliability in distributed environments.
  • In-Memory Data Grid
    Hazelcast stores data in-memory, allowing for extremely fast data access and processing times, which is ideal for applications requiring low latency.
  • High Availability
    Hazelcast offers built-in high availability with its data replication and partitioning features, ensuring data is not lost and the system remains operational during node failures.
  • Ease of Use
    Hazelcast provides a simple and intuitive API, making it accessible to developers and quick to integrate with existing applications.
  • Comprehensive Toolset
    Hazelcast offers a wide range of features including caching, messaging, and distributed computing, all in one platform, which simplifies the architecture by reducing the need for multiple tools.

Possible disadvantages of Hazelcast

  • Memory Usage
    Since Hazelcast operates in-memory, it can consume significant amounts of memory, which may be a concern for applications with large datasets.
  • Complexity in Large Deployments
    While Hazelcast offers scalability, managing and configuring a large-scale deployment can become complex and may require experienced personnel.
  • License Cost
    The enterprise version of Hazelcast, which offers additional features and support, comes with a licensing cost that might not fit all budgets.
  • Limited Language Support
    Hazelcast's strongest support is for Java. While it offers clients for other languages, they may not be as robust or feature-complete as the Java client.
  • Network Latency
    In distributed environments, network latency can impact performance, and as Hazelcast relies on network communication for node interactions, this could be a concern in some scenarios.

GraphQL Cache videos

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Hazelcast videos

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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

Category Popularity

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

GraphQL Cache

Hazelcast

Databases
19 19%
Databases
81% 81
NoSQL Databases
21 21%
NoSQL Databases
79% 79
Key-Value Database
26 26%
Key-Value Database
74% 74
GraphQL
100 100%
GraphQL
0% 0

User comments

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Reviews

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

GraphQL Cache Reviews

We have no reviews of GraphQL Cache yet.
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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

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.

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

Hazelcast mentions (0)

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

What are some alternatives?

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

Ehcache - Java's most widely used cache.

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

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

memcached - High-performance, distributed memory object caching system

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

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

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