DjangoCon 2022 | Why would anyone use Snowflake as a backend for Django?

Discover why Snowflake, a cloud-based data warehouse, is an ideal backend for Django, a popular Python web framework. Learn how to combine the strengths of both technologies to build scalable, high-performance data-intensive web applications.

Key takeaways
  • Snowflake is a cloud-based data warehouse built for data analytics and OLAP workloads.
  • It offers scalability, performance, and ease of use, making it a suitable choice for big data projects.
  • Django is a popular Python web framework used for building websites and web applications.
  • Combining Django with Snowflake allows developers to leverage the strengths of both technologies for building data-intensive web applications.
  • Snowflake’s ability to handle large amounts of data and its built-in support for Python UDFs make it a good fit for Django applications that require complex data processing and analysis.
  • The Django-Snowflake connector, developed by Tim Graham, enables seamless integration between Django and Snowflake, allowing developers to use Snowflake as a backend database for their Django applications.
  • Several companies, including a large entertainment corporation, have successfully used Django with Snowflake in production, demonstrating the viability of this combination.
  • The future of data apps involves merging Snowflake and Django to create powerful and scalable data-driven applications.
  • Snowflake’s investments in data apps and its acquisition of Streamlit, a Python web framework for building data apps, indicate its commitment to this area.
  • Developers can use Django with Snowflake to build data apps that leverage Snowflake’s data processing capabilities and Streamlit’s user-friendly interface.