Prototype on a laptop, scale to 16 billion rows: one Polars query
The post shows how to prototype a data pipeline locally on 97 million Polymarket orderbook rows, then run the same LazyFrame queries on 16 billion rows using distributed execution. The pipeline pre-aggregates the raw data into small Parquet artifacts in S3 that power a responsive Plotly Dash dashboard without scanning the full dataset on each request.
https://pola.rs/posts/market-data-to-plotly-enterprise-dashboard/
Polars
Prototype on a laptop, scale to 16 billion rows: one Polars query
Explore a subset of Polymarket orderbook data locally, then run the exact same Polars query on 16 billion rows with Polars Cloud and serve it with Plotly Dash.
August 20, 2026 100 2
