Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today. Learn more →
Dataloader Alternatives
Similar projects and alternatives to dataloader
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Civic Auth
Auth in Less Than 5 Minutes. Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today.
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payload
Payload is the open-source, fullstack Next.js framework, giving you instant backend superpowers. Get a full TypeScript backend and admin panel instantly. Use Payload as a headless CMS or for building powerful applications.
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SurveyJS
JavaScript Form Builder with No-Code UI & Built-In JSON Schema Editor. Add the SurveyJS white-label form builder to your JavaScript app (React/Angular/Vue3). Build complex JSON forms without coding. Fully customizable, works with any backend, perfect for data-heavy apps. Learn more.
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Knex
A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
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Sequelize
Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
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prisma1
Discontinued 💾 Database Tools incl. ORM, Migrations and Admin UI (Postgres, MySQL & MongoDB) [deprecated]
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apollo-android
:rocket: A strongly-typed, caching GraphQL client for the JVM, Android, and Kotlin multiplatform.
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Redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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.
dataloader discussion
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 2025-04-15.
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JSX over the Wire
I have been out of touch with the GraphQL ecosystem for a while. What are the status quo solutions to the problems stated above?
N+1 I just remember the dataloader https://github.com/graphql/dataloader Is it still used?
What about the other things? I remember that Stitching and E2E type safety, for example, were pretty brittle in 2018.
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Automatically Generated GraphQL Middleware Service
Cons: 1. Potential Complexity: Implementing and maintaining GraphQL servers can become complex, especially with custom data resolvers for different scenarios. While TypeGraphQL-Prisma abstracts some of this complexity, there’s a risk of encountering issues in auto-generated resolvers, which might be challenging to fix. 2. Caching Challenges: Unlike REST, where caching is more straightforward due to predictable endpoints, caching in GraphQL can be more complicated. Each query is unique, making traditional caching mechanisms less effective. 3. Performance Concerns: Complex and overly nested queries or inefficient resolvers can impact server performance. It could be that the generated TypeGraphQL resolvers do something smart for this issue. For example to use the dataloader pattern. However, I have not had the opportunity yet to investigate this topic. 4. Adoption and Skill Gap: Despite its growing popularity, GraphQL is still not as widely adopted as REST. This might present a learning curve for teams unfamiliar with the technology. 5. Security Considerations: With GraphQL’s single endpoint, securing the API becomes more complex. Fine-grained control over authorization at the resolver, model, and field levels is necessary, making it more challenging compared to REST.
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Eradicating N+1s: The Two-Phase Data Load and Render Pattern in Go
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: https://github.com/graphql/dataloader
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Delving into the Black Magic of GraphQL DataLoader! 🌌✨
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! :)
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How to use DataLoader with Mercurius GraphQL
DataLoader: it is the standard solution to N+1 problem.
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Best Practices in Testing GraphQL APIs
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.
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Migrating Netflix to GraphQL Safely
The most common practice is to turn N+1 into 1+1 using dataloaders (https://github.com/graphql/dataloader 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.
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SQL vs. NoSQL - cutting through the Tech Twitter noise
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
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We Ditched REST and Went with GraphQL: Here’s Why
Also, have a look at Facebook's Dataloader[0].
[0] https://github.com/graphql/dataloader
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A note from our sponsor - Civic Auth
www.civic.com | 13 May 2025
Stats
Basic dataloader repo stats
50
13,069
5.9
5 months ago
graphql/dataloader is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of dataloader is JavaScript.
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Auth in Less Than 5 Minutes
Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today.
www.civic.com