SQL meets NoSQL: What's the biggest pain point in cross-database joining?

Hey Product Hunt Community!

We recently launched DeepData by Zorozo (https://deepdata.zorozo.com/) , a desktop app designed to make it simple for developers and analysts to join, preview, and export data across different database types—specifically SQL (like MySQL/MSSQL) and NoSQL (like MongoDB).

Our biggest motivation was eliminating the frustrating, multi-step process of exporting, transforming, and re-importing data just to compare customer records in SQL with user behavior in MongoDB. We built an app with a drag-and-drop playground to solve that specific headache.

Now that we're a bit past our launch, we're trying to figure out what to tackle next!

For anyone who regularly works with data across different systems, what is currently your biggest, most time-consuming pain point?

• Is it data type inconsistency when joining?

• Is it the complex configuration of connectors?

• Is it simply slow performance when querying large, diverse datasets?

• Or is it something else entirely?

We'd love to hear your thoughts so we can focus our development efforts on solving the problems that matter most to this community.

Thanks for checking out DeepData!