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How to GraphQL VS Datomic

Compare How to GraphQL VS Datomic and see what are their differences

How to GraphQL logo How to GraphQL

Open-source tutorial website to learn GraphQL development

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database
  • How to GraphQL Landing page
    Landing page //
    2022-03-19
  • Datomic Landing page
    Landing page //
    2023-09-14

How to GraphQL videos

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

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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 How to GraphQL and Datomic)
GraphQL
100 100%
0% 0
Databases
0 0%
100% 100
Realtime Backend / API
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, How to GraphQL seems to be more popular. It has been mentiond 2 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.

How to GraphQL mentions (2)

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 How to GraphQL and Datomic, you can also consider the following products

Explore GraphQL - GraphQL benefits, success stories, guides, and more

MySQL - The world's most popular open source database

GraphQL Playground - GraphQL IDE for better development workflows

Datahike - A durable datalog database adaptable for distribution.

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

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.