I Built an Open-Source Firebase Analytics Alternative Because I Hit 1M Events/Day Once Too Many
📰 Hackernoon
Learn how to build an open-source alternative to Firebase Analytics to avoid event drop-offs at scale
Action Steps
- Identify the limitations of hosted analytics solutions like Firebase Analytics
- Design a self-hosted analytics pipeline using NATS, Parquet, and BigQuery external tables
- Configure object storage to land raw events as Parquet files
- Implement a scalable analytics solution using open-source tools
- Test and validate the alternative analytics pipeline
Who Needs to Know This
Data engineers and product managers can benefit from this article to understand the limitations of hosted analytics and build a scalable solution
Key Insight
💡 Hosted analytics solutions can fail at scale, and self-hosted alternatives can provide more control and flexibility
Share This
🚀 Ditch Firebase Analytics event limits with Rawbbit, an open-source alternative! 📈
Key Takeaways
Learn how to build an open-source alternative to Firebase Analytics to avoid event drop-offs at scale
Full Article
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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