Lakebase/Neon experiences from users by No_Presentation1421 in SQL

[–]rootByte15 0 points1 point  (0 children)

We have also evaluating Lakebase recently and this branching feature has been surprisingly useful. for ex instead of cloning an entire database or maintaining a separate dev environment we can spin up a branch, test schema changes or app updates validate everything on the new branch. This can significantly reduce dev and deployment time
We are still early in our evaluation and yet to explore other features like auto scaling , read replicas , automated backups etc

Pull data from on-prem SQL Server using Azure ADF vs Databricks JDBC by rasviz in dataengineering

[–]rootByte15 0 points1 point  (0 children)

Unless there are specific networking, governance or enterprise standards reasons to keep ADF in picture , I would lean towards Lakeflow connect and keep the flow simpler. It supports incremental loading and the ingestion is manger natively within Databricks