โ01-17-2023 07:25 AM
Hi,
I wanted to ask if anyone is using Databricks SQL Warehouse as backend for small to large scale web application?
What are your thoughts about it, specially what Databricks team thinks of it ?
Kind Regards,
A
โ01-17-2023 07:38 AM
it is possible but:
I might think of more things later.
โ01-17-2023 08:24 AM
Also, you need to provide more details. If you want to load for user report with 1000 rows is excellent. If you want to load the last news for your webpage, you need something with low latency.
โ12-19-2023 02:01 AM - edited โ12-19-2023 02:02 AM
Hey AhsanKhawaja,
Yeah, I've played around with using Databricks SQL Warehouse as a backend for a web app. It's got its perks, but like anything, it depends on your needs.
From my experience, it's slick for handling big data and crunching numbers. If your web app deals with heavy analytics or large datasets, it could be a solid choice. The SQL integration is smooth, and the performance is decent.
Speaking of trends in the tech space, have you checked out the latest insights on mobile app development? I recently came across an interesting article titled 'Mobile Apps Future: Unveiling the Top Trends Shaping the Next Generation' It delves into the evolving landscape of mobile apps and could offer some valuable insights for your considerations.
As for what the Databricks team thinks, well, they're obviously on board with their own product. They'll highlight the scalability and analytics prowess. But remember, every tool has its sweet spot.
Just a heads-up: keep an eye on costs as you scale. Sometimes, those bills can surprise you. Also, ensure your team is comfortable with the learning curve.
Give it a spin in a smaller project first, see how it fits.
4 weeks ago
Using Databricks SQL Warehouse as a backend for a web application involves integrating Databricks with your web app to handle data processing, querying, and analytics. Here are the steps to achieve this:
Choose Your Web Framework: Select a web framework for your application backend (e.g., Flask or Django for Python, Express for Node.js, Spring Boot for Java).
Establish a Connection to Databricks:
Execute Queries: Write functions in your backend to execute SQL queries against the Databricks SQL warehouse. Here is an example using Python and SQLAlchemy:
By following these steps, you can effectively use Databricks SQL Warehouse as the backend for your web application, enabling powerful data processing and analytics capabilities.
Excited to expand your horizons with us? Click here to Register and begin your journey to success!
Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!