Hafnia modernizes maritime operations with Databricks Lakebase
Maritime tanker operator Hafnia built a 'data supermarket' on the Databricks Data + AI Platform and adopted Lakebase, a managed Postgres database natively integrated into Databricks, to run operational applications alongside analytics. This powers Hafnia's internal DNA Port operating portal and the Marvis AI copilot. Time to deliver production apps dropped from about two months to four or five days (90%+ reduction), and a 10-person data team now supports 10 departments, 200+ vessels and 4,500+ crew.
Overview
Maritime tanker operator Hafnia built a 'data supermarket' on the Databricks Data + AI Platform and adopted Lakebase, a managed Postgres database natively integrated into Databricks, to run operational applications alongside analytics. This powers Hafnia's internal DNA Port operating portal and the Marvis AI copilot. Time to deliver production apps dropped from about two months to four or five days (90%+ reduction), and a 10-person data team now supports 10 departments, 200+ vessels and 4,500+ crew.
The challenge
Hafnia, one of the world's largest product and chemical tanker companies, operates in a shipping industry historically known for lacking digital innovation, with siloed systems, manual processes, and a growing demand for data-driven decision-making across more than 200 vessels, 4,500 crew members and 300 on-shore employees.
The solution
Hafnia built a self-serve 'data supermarket' on the Databricks Data + AI Platform, then adopted Lakebase -- a managed Postgres database natively integrated into Databricks -- as the transactional engine for operational applications while keeping Delta Lake as the analytical system of record, governed uniformly through Unity Catalog. This architecture powers Hafnia's internal DNA Port operating portal and the Marvis AI copilot, built on AI/BI Genie and Databricks Assistant.
Reported business value
Time to deliver production apps dropped from about two months to four or five days, a 90%+ reduction (roughly 12x faster). A 10-person data team now supports 10 departments, 200+ vessels and 4,500+ crew. Around 40 processes and apps have been delivered through Databricks Apps and DNA Port, and regulatory dashboards can now be delivered in two to three days.
Sources
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Other transportation entries in the register.
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