Hi @RodrigoE,

It would be helpful to have additional information to recommend the best options for your scenario. 

• Who owns the REST API?
• Is that in your control? 
• Can the source push data to Databricks, or should you pull on a schedule?

If the source can push the data, consider Zerobus. This is the cleanest, most scalable Databricks-native pattern if the producer is under your control.

If you have no control over the source, you can build a custom Python data source wrapping their REST API and run it as a Databricks job/stream. While the pattern will work for your volumes, the bottleneck is usually the API’s own throughput/limits, not Databricks.

If this answer resolves your question, could you mark it as “Accept as Solution”? That helps other users quickly find the correct fix.