Blogs » Serverless Lakehouse for Enterprise Workloads with Databricks
As enterprises strive for scalability, performance, and lower total cost of ownership (TCO), legacy architectures—especially traditional on-premises PostgreSQL systems—are quickly becoming bottlenecks. Many organizations are still running critical workloads on PostgreSQL, especially for transactional and analytical tasks. These systems often struggle with:
With the explosion of data volume, user concurrency, and the need to integrate analytics and AI, maintaining siloed databases no longer supports business agility.
Architecture Blueprint: Delta + Iceberg in Action
The architecture combines the ACID guarantees of Delta Lake with multi-engine interoperability of Iceberg, enabling:
This hybrid design enables you to serve both BI dashboards and AI/ML models from the same platform—without duplicating data or worrying about consistency.
Why This Matters to Enterprise IT Leaders
Moving to a Serverless Lakehouse is not just a technology upgrade—it’s a business enabler. Traditionally, OLTP workloads have been confined to relational databases like PostgreSQL, MySQL, or Oracle—optimized for fast reads/writes but siloed from analytics and AI. Serverless lakehouse helps eliminate the gap between transactional systems and analytical pipelines. Organizations can now run near-real-time analytics on transactional data without ETL delays.
Migrating PostgreSQL to Databricks Serverless solves these problems by:
Here’s what it unlocks:
How Lirik Can Help?
Successfully transitioning to Databricks’ serverless architecture requires a strategic, well-governed, and performance-optimized approach. Lirik brings proven expertise and accelerators to streamline this transformation through:
PostgreSQL to Delta Migration Services
Delta + Iceberg Architecture Blueprints
Serverless Cost Benchmarking & Optimization
Enterprise Governance thru Unity Catalog
Ongoing Monitoring & Support Services
Final Thoughts
The future of enterprise data architecture is serverless, governed, and AI-ready.
Migrating PostgreSQL and other structured workloads to the Databricks Serverless Lakehouse unlocks operational efficiency, accelerates innovation, and enables AI at scale—while maintaining governance and compliance. This shift doesn’t replace OLTP systems but offload analytical workloads from overburdened RDBMS platforms to a scalable, cost-effective Lakehouse built for modern data demands.
Now is the time to modernize. Let your data platform scale with your ambitions.
