Software Alternatives, Accelerators & Startups

GraphQL Cache VS Datomic

Compare GraphQL Cache VS Datomic 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.

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29
  • Datomic Landing page
    Landing page //
    2023-09-14

GraphQL Cache videos

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Datomic videos

KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas

More videos:

  • Review - "Real-World Datomic: An Experience Report" by Craig Andera (2013)
  • Review - Rich Hickey on Datomic Ions, September 12, 2018

Category Popularity

0-100% (relative to GraphQL Cache and Datomic)
Databases
12 12%
88% 88
NoSQL Databases
15 15%
85% 85
Key-Value Database
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

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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.

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

Datomic mentions (0)

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

What are some alternatives?

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

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

Datahike - A durable datalog database adaptable for distribution.

Ehcache - Java's most widely used cache.

Matisse - Matisse is a post-relational SQL database.

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

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server