dataloader VS react-relay

Compare dataloader vs react-relay and see what are their differences.


DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching. (by graphql)


Relay is a JavaScript framework for building data-driven React applications. (by facebook)
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dataloader react-relay
23 22
11,126 16,623
1.3% 2.9%
2.7 9.9
about 1 month ago 1 day ago
JavaScript Rust
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of dataloader. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-22.
  • N+1 problem will never be an issue with N1Loader gem
    4 projects | | 22 Jan 2022
    Interesting, I've just been researching Dataloader implementations for Ruby and have between trying to decide between GraphQL::Dataloader, graphql-batch and BatchLoader. I'll give this a look as well. Can you also make API calls inside the loaders?
  • C++ and GraphQL
    1 project | | 17 Jan 2022
    If you wanna go the extra mile build some sort of data-loader for it as well
  • GraphQL vs REST in .NET Core
    7 projects | | 16 Dec 2021
    Will it be gateway for REST API or gateway for a number of GraphQL services (here you can expect n + 1 problem and it can be a challenge to design DataLoaders on your layers)? You also should consider here how authorization rules, throttling rates or caching timeouts should be handled. Since GraphQL uses only one endpoint REST route-specific rules should be transferred into GraphQL schema rules: you may need to write authorization, throttling or caching logic in a separate layer.
  • Hi webdev! How do you feel about GraphQL these days?
    1 project | | 10 Dec 2021
    On the back-end, it makes for nice documentation, but my sense is that things get pretty complicated when you need to support a graphQL query that may include multiple parents/descendants. Keeping your database queries clean means using a dataloader to avoid n+1 issues.
  • Clojure-server to Clojure-server communication library
    6 projects | | 17 Sep 2021
  • To GraphQL or not to GraphQL? Pros and Cons
    5 projects | | 13 Sep 2021
    This is also related to the N+1 problem, where nested queries make the number of database requests explode. If you want to learn more about this problem, I recommend this video and checking out dataloader, a library released by Facebook to help with batching queries and solving this problem.
  • Graph QL query involving more content
    2 projects | | 8 Sep 2021
    i think DataLoader is what you want
  • GraphQL - Diving Deep
    47 projects | | 29 Jul 2021
    While GraphQL is really promising and helpful, you have to understand that like any technology or framework, it does come with its own set of problems, most of which have already been addressed. For instance you might have heard about the N+1 problem, lack of caching, Query cost and complexity and so on and these have been addressed by some projects like the Dataloader, Persisted Queries, Caching and more which you can setup depending on your needs.
  • GraphQL - Usecase and Architecture
    8 projects | | 29 Jul 2021
    You might also want to look at how you minimize the amount of calls you make to the main database. Do you need caching and have it setup? Have you addressed the N+1 problem with Dataloader?
  • The Workflow
    10 projects | | 29 Jul 2021
    This is where you setup things like batching and also solve N+1 problems with something like a dataloader, setup caching with something like Redis or even an LRU cache to act as a proxy for the frequently accessed data whenever and wherever possible, optimizing the network chatter by using something like persisted queries, optimize your resolvers by retrieving as much data as possible from the parent resolvers, setting up pagination to limit the results returned, setting up things like query complexity to control the level of nesting and computation performed, rate-limiting in the gateway to avoid things like DDOS and so on.


Posts with mentions or reviews of react-relay. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-11.

What are some alternatives?

When comparing dataloader and react-relay you can also consider the following projects:

apollo-client - :rocket:  A fully-featured, production ready caching GraphQL client for every UI framework and GraphQL server.

react-query - ⚛️ Hooks for fetching, caching and updating asynchronous data in React

axios - Promise based HTTP client for the browser and node.js

urql - The highly customizable and versatile GraphQL client with which you add on features like normalized caching as you grow.

Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

graphql-voyager - 🛰️ Represent any GraphQL API as an interactive graph


esbuild - An extremely fast JavaScript and CSS bundler and minifier

Sequelize - An easy-to-use and promise-based multi SQL dialects ORM tool for Node.js | Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server & DB2

graphql-ws - Coherent, zero-dependency, lazy, simple, GraphQL over WebSocket Protocol compliant server and client.

jest - Delightful JavaScript Testing.

Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.