Google Cloud BigQuery
Reviews
Star rating
Rank in Columnar Databases
Pros and cons
Pros
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability
Cons
- Expensive
- Query Issues
- Cost Issues
- Cost Management
- Learning Curve
- Expensive Queries
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 27.7% |
| Mid-Market | 34.3% |
| Enterprise | 38.1% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 45 | 4.5 |
| 2025 Q1 | 49 | 4.5 |
| 2025 Q2 | 20 | 4.0 |
| 2025 Q3 | 49 | 4.4 |
| 2025 Q4 | 38 | 4.3 |
| 2026 Q1 | 23 | 4.4 |
| 2026 Q2 | 17 | 4.1 |
| 2026 Q3 | 1 | 3.0 |
Satisfaction ratings
What reviewers say
Easy-to-Use Cloud Tool with Shareable, Saved Queries
“It’s easy to use, and it’s available on the cloud, so it doesn’t take up hardware space. The best part is that we have the option to save our queries and share them as well.”
Robust Analytics, Costly but Worth It
“I use Google Cloud BigQuery to handle data and records for internal departments, and it supports me with almost near real-time data analytics, which is crucial. I really like how it provides me with dashboards of real-time reports, making it so much easier to interpret data quick”
Server-less Performance for Data Optimisation and Analytics
“Server-less architecture. Able to handle big datasets effectively and efficiently.”