Data Science Tech Brief By HackerNoon · 2026-06-20 · 10 min
This story was originally published on HackerNoon at: . After hitting Firebase Analytics 1M events/day cap during a mobile game softlaunch, I built an open-source self-hosted analytics pipeline. Here's how. Check more stories related to data-science at: . You can also check exclusive content about #data-engineering , #game-development , #analytics-pipeline , #self-hosted-analytics , #event-streaming , #event-tracking , #product-analytics , #firebase-analytics , and more. This story was written by: @rawbbit . Learn more about this writer by checking @rawbbit's about page, and for more stories, please visit hackernoon.com . A few years ago I was the data engineer on a mobile game soft launch when Firebase Analytics quietly started dropping events past its 1M/day cap. We didn't catch it for days. That experience pushed me to build Rawbbit - an open-source, Apache 2.0, self-hosted analytics pipeline that lands raw events as Parquet in your own object storage. This is the story of why hosted analytics fails at scale, why I chose NATS + Parquet + BigQuery external tables, and what I deliberately left out.
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