Neon vs BigQuery

Serverless Postgres with branching meets google's data warehouse that makes querying petabytes feel like a casual stroll, as long as you don't mind the bill. Here's our take.

Neon

Nice Pick

Serverless Postgres with branching. PlanetScale vibes, Postgres reality.

Pros

• Serverless Postgres
• Branching
• Generous free tier
• Scale to zero

Cons

• Newer
• Cold starts
• Smaller community

BigQuery

Google's data warehouse that makes querying petabytes feel like a casual stroll, as long as you don't mind the bill.

Pros

• Serverless architecture means zero infrastructure management
• Blazing-fast SQL queries on massive datasets with Google's distributed processing
• Built-in machine learning and seamless integration with Google Cloud services

Cons

• Costs can spiral quickly with complex queries or large data scans
• Limited control over performance tuning compared to self-managed warehouses

The Verdict

Use Neon if: You want serverless postgres and can live with newer.

Use BigQuery if: You prioritize serverless architecture means zero infrastructure management over what Neon offers.

The Bottom Line

Neon wins

Serverless Postgres with branching. PlanetScale vibes, Postgres reality.