In our retail analytics project (CPG domain), Lakebase transformed how we handled operational data

[KVNARK]

We had ADF pipelines extracting POS data to Snowflake, but needed real-time operational tracking—job statuses, data quality alerts, user audit logs. Traditional RDS/SQL databases created ETL sync nightmares between ops and analytics layers.

Lakebase solution:
Migrated all those tables to Lakebase Provisioned (serverless Postgres).

Key wins:
Zero-copy sync: Lakebase tables auto-materialize as Delta Live Tables in lakehouse—no more dual maintenance
Unity Catalog governance: Single access control for ops + analytics teams
Scale-to-zero: It costs us only during pipeline runs (vs. always-on VMs). It has resulted in reducing the cost to the customer.

[rdokala]

This is great! I was wondering if there is a specific rationale behind Lakebase Provisioned instance as opposed to Autoscaling instance. More insights would be helpful.