Turn Your Gold Layer into a Gold Mine

Databricks + Yellowbrick

Better Together

Databricks transformed how you manage and process data.
Analytics costs are the next challenge.

The Databricks Medallion architecture: bronze, silver and gold layers under Unity Catalog

Databricks excels at data processing but struggles at the Silver and Gold layers of the Medallion architecture where data scientists need ad-hoc analytics, and business users demand fast business intelligence. These workloads require high performance yet can create unpredictable DBU costs.

This forces data engineers to limit access, leaving business users without self-service analytics, IT teams handling manual requests, and performance tradeoffs slowing innovation.

Optimizing the Silver and Gold Layer

Keep Databricks for what it does best: data processing and storage.
Add Yellowbrick for high-performance, value-driven analytics where your users need it most.

Databricks with Yellowbrick serving the silver and gold layers

Yellowbrick Augmentation Benefits

Up to 8x faster queries with sub-second performance at scale

High concurrency for thousands of simultaneous users

Predictable cost with lower
per-query pricing

Federated queries across all Medallion layers

Unity Catalog integration with PostgreSQL compatibility

Complete data lineage
end-to-end

Access and performance in balance

Stop Trading Off Access or Performance

Your teams need instant access to insights. Your business needs to control resource allocation. With Yellowbrick + Databricks, you get both — without disrupting your analytical workflows.

Integration with one line of code. Zero compromise.

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Frequently Asked Questions

Why use Yellowbrick alongside Databricks for the Medallion architecture?
Databricks excels at large-scale data ingestion, transformation, and advanced analytics, but costs spike on the Gold layer where Business Intelligence workloads run. Yellowbrick delivers faster, high-concurrency business analytics at a dramatically lower cost per query.
How difficult is the Databricks + Yellowbrick integration process?
Integration takes just one line of code without duplicated copies of your data. Your Databricks pipelines, UI, and tools remain unchanged.
Will adding Yellowbrick complicate my data stack?
No. Yellowbrick requires zero administrative overhead and uses PostgreSQL, which your team already knows. It integrates seamlessly with Databricks’ open platform.
How does Yellowbrick work with my existing Databricks workflows?
Yellowbrick integrates through Unity Catalog’s federated query capability across all layers. Your team can query Yellowbrick data directly from Databricks SQL, Databricks notebooks, and existing tools, and track end-to-end data lineage.

Do you want to learn more? Let's talk.