Louis_Frolio
Databricks Employee
Databricks Employee

Great framing, @balajij8 . The “last mile” analogy really lands — especially for anyone who’s spent weeks maintaining brittle reverse ETL pipelines just to get insights back into an app where they can actually be used.

Bringing an ACID-compliant Postgres engine directly alongside the Lakehouse fundamentally changes the conversation. Native Data Sync removing latency and plumbing friction is the quiet superpower here — it lets teams focus on building intelligent experiences instead of data gymnastics.

This feels like a very pragmatic step toward truly operationalizing analytics. Nicely articulated.

Cheers, Lou.