BigQuery vs CrateDB: Which is Better in 2026?
Choosing between BigQuery and CrateDB comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
BigQuery
Google's serverless data warehouse for analytics
Best for you if:
- • BigQuery is Google's serverless data warehouse for analyzing petabytes of data with SQL
- • It offers blazing fast queries with automatic scaling and built-in ML capabilities
CrateDB
Real-time analytics database for instant insights from any data, at any scale, with SQL.
Best for you if:
- • You want to try before committing
- • Real-time analytics database for instant querying of diverse data at scale using SQL.
- • Supports complex aggregations, hybrid search (including vector similarity), and AI model integration.
| At a Glance |  BigQuery |  CrateDB |
|---|---|---|
Starts at | $0.04/slot-hourEditions | FreeFree tier available |
Best For | Data & Databases | Data & Databases |
Rating | 4.6/5 | 4.4/5 |
Free plan | No | Yes |
Choose BigQuery or CrateDB?
Choose BigQuery if
Google's serverless data warehouse for analytics
- Best serverless data warehouse
- Petabyte scale
- SQL interface
- Budget matters ($0.04/slot-hour vs Free)
Choose CrateDB if
Real-time analytics database for instant insights from any data, at any scale, with SQL.
- Distributed SQL database
- Time-series optimized
- Good performance
| Feature | BigQuery | CrateDB |
|---|---|---|
| Pricing Model | Paid | Freemium |
| User Rating | ★4.6/5 671 reviews | ★4.4/5 84 reviews |
| Categories | Data & DatabasesAnalytics | Data & DatabasesAnalytics |
In-Depth Analysis
BigQuery
Google's serverless data warehouse for analytics
Strengths
- +Best serverless data warehouse
- +Petabyte scale
- +SQL interface
- +ML built-in
- +Pay per query
Weaknesses
- -Query costs can surprise
- -Slot management complex
- -Streaming inserts expensive
- -Learning curve
- -Some SQL limitations
Key features
CrateDB
Real-time analytics database for instant insights from any data, at any scale, with SQL.
Strengths
- +Distributed SQL database
- +Time-series optimized
- +Good performance
- +Full-text search
- +Open source
Weaknesses
- -Smaller community
- -Learning curve
- -Limited ecosystem
- -Documentation gaps
- -Less known
Key features
Pricing: BigQuery vs CrateDB
| Plan | BigQuery | CrateDB |
|---|---|---|
| Tier 1 | Free Tier | Free Free |
| Tier 2 | $6.25 /TB On-Demand | $0.073 /hour Shared |
| Tier 3 | $0.04 /slot-hour Editions | $0.246 /hour Dedicated |
| Tier 4 | N/A | custom Custom |
Pricing verified from each vendor's public pricing page. Compare in detail on BigQuery pricing and CrateDB pricing.
Who Should Use What?
On a budget?
CrateDB has a free tier. BigQuery is paid only.
Go with: CrateDB
Want the highest-rated option?
BigQuery: 4.6/5 (671 reviews). CrateDB: 4.4/5 (84 reviews).
Go with: BigQuery
Value user reviews?
BigQuery: 671 reviews (4.6/5). CrateDB: 84 reviews (4.4/5).
Go with: BigQuery
3 Questions to Help You Decide
What's your budget?
BigQuery is paid. CrateDB is freemium. CrateDB lets you start free.
What's your use case?
Both are data & databases tools. Compare their specific features to decide.
How important are ratings?
BigQuery is rated higher: 4.6/5 vs 4.4/5.
Key Takeaways
BigQuery
- Higher user rating: 4.6/5 vs 4.4/5
- Larger review base (671 reviews)
- Our pick for this comparison
CrateDB
- Has a free tier
The Bottom Line
BigQuery is our pick. CrateDB has a free tier if you want to test without paying.
Frequently Asked Questions
Is BigQuery or CrateDB better?
BigQuery is rated in our evaluation. BigQuery is paid and CrateDB is freemium.
What are BigQuery and CrateDB used for?
BigQuery: Google's serverless data warehouse for analytics. CrateDB: Real-time analytics database for instant insights from any data, at any scale, with SQL..
What does BigQuery cost vs CrateDB?
BigQuery is a paid tool. CrateDB is freemium (free tier + paid plans). Visit their websites for detailed pricing.