Chronon is a data processing framework open-sourced by Airbnb. It is adopted across organizations like Stripe, Netflix, OpenAI, and Uber. Chronon was originally built for ML applications. It has since been adopted to power a variety of use-cases—heuristics for rule engines, context for LLMs, user-facing and business-facing metrics.

Chronon is adopted for its ability to generate training data at scale and serve features with very low latency with a simple, high-level API. It abstracts away the effort required to manually build batch and stream processing pipelines, indexes, and services.

This talk will focus largely on algorithms and optimizations inside Chronon. We will only briefly touch upon the core concepts of the API and a couple of example use-cases.