Comparison
Quayen vs Fivetran for MySQL to BigQuery
Fivetran is a broad data-integration platform with connectors for hundreds of sources and many destinations. Quayen does one thing: MySQL to BigQuery change data capture, with BigQuery-specific cost controls.
| Quayen | Fivetran | |
|---|---|---|
| Pricing model | Monthly active rows; initial copies and re-copies free | Monthly active rows (MAR), with a $5 minimum per connection using 1 to 1M MAR |
| Free tier | 1M monthly active rows | 500,000 MAR per month |
| Sources | MySQL (RDS, Aurora, Cloud SQL, Azure, self-hosted) | Hundreds of databases, SaaS apps and files |
| Destinations | BigQuery | Many warehouses and lakes, including BigQuery |
| Where the data lands | Your BigQuery project | Your warehouse |
| Change history | Every change kept in a separate dataset, retention 3 days to forever | History mode on supported connectors |
| BigQuery cost controls | Insert-only refreshes, clustered history, refresh interval from 1 min to 1 h | Sync frequency settings |
| Re-sync one table | Yes, while other tables keep streaming | Yes |
Choose Fivetran if
- You need many sources or destinations in one tool
- You want a large, established vendor with broad compliance programs
Choose Quayen if
- Your source is MySQL and your warehouse is BigQuery
- You want every change kept as queryable history
- You want BigQuery refresh costs engineered down by default
Fivetran details are based on its public documentation as of October 2026 and may have changed: Fivetran pricing, Fivetran usage-based pricing docs.
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