Financial services · Databricks
National Australian Bank (NAB): How NAB’s journey to 100% Declarative Pipelines is helping data flow like electricity
Public case study · not a Metric Oak engagement
- Spark Declarative Pipelines running on Databricks Lakeflow
- 1,800
- Job success rate
- 99.6%
- Less transformation complexity
- 80%
What happened
The story in brief
Australia's largest business bank runs more than 1,600 pipelines maintained by hundreds of engineers. It is standardizing on declarative, streaming-first pipelines on Databricks Lakeflow to replace hand-written Spark and legacy ETL, simplifying maintenance and improving data quality.
See the full financial services benchmarkPlanning something similar?
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did National Australian Bank (NAB) report?
National Australian Bank (NAB) reported 1,800 Spark Declarative Pipelines running on Databricks Lakeflow; 99.6% job success rate; 80% less transformation complexity, according to its customer story published by Databricks.
Which platform and technologies did National Australian Bank (NAB) use?
National Australian Bank (NAB) used Databricks, including Lakeflow, Declarative pipelines, Apache Spark.
How do these results compare with other financial services programs?
See our financial services benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Databricks: How NAB’s journey to 100% Declarative Pipelines is helping data flow like electricity (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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