Session

Millisecond Pricing: High-Velocity Feature Serving on the Lakebase

Overview

ExperienceIn Person
TrackLakebase
IndustryFinancial Services
TechnologiesUnity Catalog, Databricks Apps, Agent Bricks
Skill LevelIntermediate

Fragmented architectures kill pricing precision. Real-time systems require millisecond latency across millions of features without training-serving skew. We replace slow, siloed pipelines with a high-velocity pricing engine built on the Databricks Lakebase, Tecton and Fennel with Genie and Apps.

Technical Highlights:

  • Millisecond serving: OnlineFS provides rapid online serving for millions of features to power complex pricing models.
  • Rapid updates: Fennel enables instantaneous feature updates, allowing the online system to react to data shifts in real time.
  • Unified foundation: Databricks Lakebase provides the high-performance backbone for governed, enterprise-scale feature retrieval at scale.
  • Intelligent analytics: Databricks Genie and integrated dashboards deliver real-time visibility into pricing performance and financial risk.

See how to build a scalable, autonomous blueprint for real-time decisioning that bridges massive historical datasets with sub-millisecond execution.

Session Speakers

Laurence Ryszka

/Senior Solutions Architect
Databricks

Rahul Pathak

/Senior Specialist Solutions Engineer
Databricks