Databricks excels at large-scale data ingestion, transformation, and advanced analytics, including AI/ML workloads. It supports open table formats like Delta Tables and Apache Iceberg, and facilitates governance and cross-platform access through Unity Catalog, enabling consistent metadata management and fine-grained access control across diverse data sources.
Yellowbrick complements Databricks by delivering ultra-fast, cost-effective query performance for high-concurrency, operational analytics, and data warehousing use cases. It supports thousands of users running ad hoc SQL queries and business intelligence (BI) reports at a significantly lower cost per query compared to Databricks SQL
In the Medallion architecture:
Bronze Layer: Databricks manages raw, unprocessed data for long-term retention.
Silver Layer: Databricks offers cleansed, conformed, and enriched datasets.
Gold Layer: Yellowbrick can take over, especially where fast, high-concurrency SQL analytics are needed. Gold data is curated, business-ready, and optimized for consumption by downstream analytics and BI tools.