BigQuery
Google's serverless, highly-scalable cloud data warehouse designed for fast SQL analytics over massive datasets.
BigQuery is Google Cloud's fully managed, serverless data warehouse that enables super-fast SQL queries over petabyte-scale datasets. It's a core component of modern data stacks, serving as the analytical foundation for growth teams.
Key Features
Serverless architecture with automatic scaling. Standard SQL interface. Built-in ML capabilities (BigQuery ML). Real-time streaming inserts. Native integration with Google Analytics, Ads, and other Google products. Generous free tier (1TB queries/month, 10GB storage).
Best For
Teams already in the Google Cloud ecosystem. Companies that need to analyze large event datasets with SQL. Organizations looking for a serverless option that requires minimal infrastructure management.
Limitations
Pricing is based on data scanned, which can be unpredictable. Lacks the concurrency and sub-second query performance of Snowflake for interactive dashboards. The UI and developer experience is less polished than Snowflake's.
| Plan | Price | Details |
|---|---|---|
| Free Tier | Free | 10GB storage, 1TB queries/month |
| On-demand | $6.25/TB queried | Pay per query; $0.02/GB/month storage |
| Capacity | $2,000/mo+ | Flat-rate slots; predictable pricing |
Used by
Spotify · UPS · The Home Depot · Twitter/X · Etsy · The New York Times · Wayfair
Use cases
- Centralizing product analytics data for SQL-based analysis
- Running ML models on user behavior data with BigQuery ML
- Joining Google Analytics data with backend event data
- Powering growth dashboards and automated reports
Alternatives
- Snowflake — Cloud data platform offering scalable warehousing, data sharing, and near-unlimited concurrency for analytical workloads. ($2/credit)