Financial services · Databricks
Coinbase: Boosting blockchain and finance data with streaming ingestion
Public case study · not a Metric Oak engagement
- reduction in processing time to backfill the entire Ethereum history
- 99%+
- of thousands of CDC traffic updates processed per second
- 100s
- of thousands of ingress traffic events processed per second
- 100s
What happened
The story in brief
A global crypto exchange combines blockchain data with application activity from millions of users. It rebuilt its high-volume change-data-capture and event pipelines on Databricks streaming, sharply reducing the time to backfill full blockchain history and handling thousands of updates per second.
See the full financial services benchmarkPlanning something similar?
Data platform engineering
Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.
Related case studies
Financial services · Databricks
ABN AMRO10x
Faster time to market: use cases deployed in 2 months
Financial services · Databricks
Addepar5x
Faster pipeline development, accelerating client onboarding
Financial services · Databricks
AME Digital90%
Accuracy in fraud prevention models
Related insights
Frequently asked questions
What results did Coinbase report?
Coinbase reported 99%+ reduction in processing time to backfill the entire Ethereum history; 100s of thousands of CDC traffic updates processed per second; 100s of thousands of ingress traffic events processed per second, according to its customer story published by Databricks.
Which platform and technologies did Coinbase use?
Coinbase used Databricks, including Delta Lake, Delta Sharing, Apache Spark, Structured Streaming, Airflow, Kafka.
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: Boosting blockchain and finance data with streaming ingestion (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.
Have 30 minutes? Get a senior architect’s view of your data platform.
No sales deck. You talk to the engineer who would lead the work.
Book an architecture review