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nOps, a Databricks Built On partner managing $4B in annual cloud spend, migrated production application to Databricks Lakebase to eliminate separate database stack complexity.
•Previous architecture required ETL pipelines and cron jobs to synchronize data between Lakehouse analytics and PostgreSQL database, causing operational overhead and latency.
•Lakebase provides tight Lakehouse integration through Unity Catalog and one-click Delta Lake sync, eliminating manual data synchronization and sync-related engineering overhead.
•New architecture centralizes Lakebase as single source of truth for both application and analytics, with continuous data flow from Lakebase to Lakehouse.
•ISVs using Lakebase eliminate sync tax, reduce operational overhead, achieve usage-based pricing with scale-to-zero, and ship features faster.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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