Google BigQuery vs Zeppelin
Google BigQuery and Zeppelin are both database software. Google BigQuery is a commercial product from Google. Zeppelin is open source under Apache-2.0, with 6.7k GitHub stars.
Which to pick
- Pick Google BigQuery when
- You are on Google Cloud or export GA4 data and want SQL analytics without managing servers.
- Pick Zeppelin when
- Your team works mainly with Spark or Flink and wants shared notebooks tied to those engines.
Side by side
Google Cloud's serverless data warehouse for SQL analytics over very large datasets, with built-in ML and GA4 export.
A web-based notebook for interactive data analytics with SQL, Scala, Python and Spark, producing shareable charts and documents.
On-demand pricing charges per data scanned, so careless queries cost real money.
Jupyter has far more momentum, and Zeppelin's releases and community have slowed.
Production-ready
Usable
Cloud service
Self-hosted server
SQL
Java, TypeScript and Spark
Closed source, sold by Google
Open source, Apache-2.0 (permissive)
Closed source: you use it under the maker's terms and cannot change or resell the code.
You can build it into a product you sell, as long as you keep its copyright notice.
313 Wikipedia readers a month on phones
6.7k GitHub stars
Not known
Established: started 11 years ago, no tagged release yet.
Other comparisons
More databases
Both sides were judged on 2026-11-03 from makers' descriptions, Wikipedia, READMEs and GitHub data. License, age and popularity lines are worked out directly.