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)

Dataloader Alternatives

Similar projects and alternatives to dataloader

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better dataloader alternative or higher similarity.

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dataloader reviews and mentions

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 2024-05-28.
  • Eradicating N+1s: The Two-Phase Data Load and Render Pattern in Go
    4 projects | | 28 May 2024
    This seems to be the dataloader pattern. There are implementations in many languages, but the idea is that you have a bunch of threads which declare their I/O needs, and then you 1) denounce and merge the requests (uniform access) and 2) cache the results so that later in the graph of calls you don’t need to fetch already loaded data.

    Here’s one impl:

  • Delving into the Black Magic of GraphQL DataLoader! 🌌✨
    2 projects | | 16 Jan 2024
    When I began working with GraphQL, I had concerns about the N+1 query problem. In my research, I came across the DataLoader pattern and its implementation on GitHub. While I explored various examples of its usage, I still struggled to grasp how it operates internally. Join me in delving a bit deeper into GraphQL DataLoader! :)
  • How to use DataLoader with Mercurius GraphQL
    3 projects | | 5 Aug 2023
    DataLoader: it is the standard solution to N+1 problem.
  • Best Practices in Testing GraphQL APIs
    7 projects | | 3 Jul 2023
    Additionally, you can use DataLoader or similar tools to optimize data fetching and avoid over-fetching or under-fetching data. Ultimately, performance and load tests ensure that your GraphQL API delivers optimal performance, meets response time expectations, and provides a smooth experience for users, even under heavy loads.
  • Migrating Netflix to GraphQL Safely
    9 projects | | 18 Jun 2023
    The most common practice is to turn N+1 into 1+1 using dataloaders ( for JS, there are equivalents for most implementations). The N resolvers invoke a single batched loader which receives a list of keys and returns a list of values.
  • SQL vs. NoSQL - cutting through the Tech Twitter noise
    2 projects | | 11 May 2023
    Let's take Payload, for example. Surprise, surprise. We have a relationship field, and it can store IDs to other related documents which are seamlessly merged in when you retrieve documents from the DB. We leverage the dataloader pattern to batch together all "populations" required for a given query, returning them all super fast and with as few separate queries to the DB as possible. We actually even outperform SQL-based frameworks quite a bit. In a purely relational test, we were 3x faster than Directus and 7x faster than Strapi while both were running Postgres, and we were on MongoDB.
  • NoSQL vs. SQL - cutting through the Tech Twitter noise with a real-world use case
    1 project | /r/programming | 11 May 2023
  • We Ditched REST and Went with GraphQL: Here’s Why
    1 project | | 18 Mar 2023
    Also, have a look at Facebook's Dataloader[0].


  • Implementing logger with metadata
    2 projects | | 25 Jan 2023
    In the next article, I'm going to implement a GraphQL server with dataloader using the tools we introduced.
  • Typesafe, (almost) Zero Cost Dependency Injection in TypeScript
    12 projects | | 9 Jan 2023
    The one example of using Scoped dependency that comes to my mind, it's HTTP request level caching for libs like dataloader.
  • A note from our sponsor - InfluxDB | 24 Jul 2024
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