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Skytable VS GraphQL Cache

Compare Skytable VS GraphQL Cache and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Skytable logo Skytable

Skytable is a free and open-source realtime NoSQL database that aims to provide flexible data modelling at scale.

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.
  • Skytable Landing page
    Landing page //
    2023-03-19
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29

Skytable features and specs

  • High Performance
    Skytable is designed for high-speed data processing and retrieval, which can be beneficial for applications requiring low-latency data access.
  • Flexible Data Models
    Skytable supports multiple data models, which allows developers to choose the best model for their specific use case, providing flexibility in handling various types of data.
  • Scalability
    The architecture of Skytable allows it to scale efficiently, which is crucial for applications experiencing rapid growth in data volume and user requests.
  • Open Source
    As an open-source project, Skytable allows developers to inspect the code, contribute to its development, and tailor it to their needs without licensing costs.

Possible disadvantages of Skytable

  • Early Stage Project
    As Skytable is relatively new compared to established database systems, it may lack some features and has a smaller community for support and troubleshooting.
  • Limited Ecosystem
    Being newer, Skytable has a less mature ecosystem with fewer third-party tools, integrations, and extensions than more established databases.
  • Documentation
    The documentation, while improving, may not be as comprehensive or detailed as that of more established databases, potentially leading to a steeper learning curve.
  • Community Support
    The user community is smaller due to its newness, which might result in slower responses for community-driven support and fewer community-driven resources.

GraphQL Cache features and specs

No features have been listed yet.

Analysis of GraphQL Cache

Overall verdict

  • GraphQL is an excellent and mature query language for APIs, and its caching capabilitiesโ€”while more nuanced than RESTโ€”are well-supported through client libraries and normalized caches that make it a solid choice for modern applications.

Why this product is good

  • Client-side normalized caching (via tools like Apollo Client and Relay) allows efficient data storage and retrieval by unique identifiers, reducing redundant network requests
  • Enables precise data fetching so clients only request and cache exactly the fields they need, minimizing over-fetching and cache bloat
  • Strong ecosystem support with well-documented caching strategies and persisted queries that can leverage HTTP and CDN caching
  • Automatic cache updates and consistency management keep UI data in sync after mutations
  • Backed by a large community and official documentation at graphql.org that clearly explains caching approaches

Recommended for

  • Applications with complex, nested data requirements where over-fetching is a concern
  • Teams building rich client-side apps using Apollo Client or Relay that benefit from normalized caching
  • Developers who need fine-grained control over what data is fetched and cached
  • Projects with multiple frontend clients (web, mobile) consuming the same flexible API
  • Organizations wanting to reduce network payloads and improve perceived performance through smart client caching

Skytable videos

+ Add

PROJECT | Review of PERIโ€™s SKYTABLE Formwork System (EN)

More videos:

  • Review - SKYTABLE
  • Review - [MC] - Skytable E26: This and That

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 Skytable and GraphQL Cache)

Skytable

GraphQL Cache

Databases
62 62%
Databases
38% 38
NoSQL Databases
69 69%
NoSQL Databases
31% 31
API
0 0%
API
100% 100
Key-Value Database
68 68%
Key-Value Database
32% 32

User comments

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Reviews

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

Skytable Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
4. Skytable: Found it while looking for projects written in Rust. Claims to be "insanely fast." Skytable's "experimental benchmarks" claim that it is something around 10X faster than Redis and some 2X-3X faster than KeyDB[3]. I hadn't heard of Skytable and it doesn't seem to be as widely used (unless I'm missing something?). I find it interesting because of the planned...
Source: news.ycombinator.com

GraphQL Cache Reviews

We have no reviews of GraphQL Cache yet.
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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.

Skytable mentions (0)

We have not tracked any mentions of Skytable yet. Tracking of Skytable recommendations started around Jun 2022.

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 3 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 / about 4 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 4 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]. Iโ€™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 couldnโ€™t? [1]... - Source: Hacker News / about 5 years ago

What are some alternatives?

When comparing Skytable 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.

ZeroSSL - FREE SSL certificates issued instantly online with Free SSL Certificate Wizard.

KeyDB - KeyDB is fast NoSQL database with full compatibility for Redis APIs, clients, and modules.

Let's Encrypt - Letโ€™sย Encrypt is a free, automated, and open certificate authority brought to you by the Internet Security Research Group (ISRG).

Dragonfly DB - Dragonfly - Scalable in-memory datastore made simple

Ehcache - Java's most widely used cache.

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