Django development

Django REST Framework Performance Issues

Pain pointTrend: NewConfidence: LowFirst seen 7/29/2026 · last seen 7/29/2026

Opportunity score

31

Mentions

2

Communities

1

Growth since last check

new

What's happening

Multiple posts highlight significant performance issues when using Django REST Framework, particularly with serialization of large datasets and slow response times for APIs. Users are struggling with long serialization times and slow API responses, leading to frustration and inefficiencies in their applications.

Why this score: The pain is evident as users express frustration over performance, but there is limited indication of immediate purchasing intent.

Who's affected

Django developersAPI developersData engineers

What people try to do

  • Trying to optimize serializers for large datasets.
  • Implementing pagination and caching strategies.

Why current solutions fail

  • Serialization takes too long for large datasets.
  • APIs are slow to respond under heavy load.

What to build

  • Develop a caching layer specifically for Django REST Framework responses.
  • Create a tool to optimize serialization processes for large datasets.
  • Implement pagination and lazy loading strategies for API responses.

Evidence

Performance issue (long serialization time) with Django rest framework serializers on large dataset like 1000 objects while fetching (read) the data

<p>I am working on a Django application that uses <strong>Django Rest Framework</strong> to expose APIs. I am experiencing significant performance issues when <strong>serializing</strong> large data in Django Rest Framework. I have an endpoint that returns a list of objects e.g. 1000 records. The re

stackexchange · Rahul Golawar · 11/18/2024

Open original →

Django Tastypie API Slow Response Time with Annotate Count and Pagination

<p>I'm working with a Django Tastypie API that processes a large QuerySet. I need to perform an annotate with a Count on a related table, which is also very large. Afterward, I return the response using paginator to handle the pagination. However, the API is taking a significant amount of time to re

stackexchange · HodA · 8/19/2024

Open original →

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