Antvia
vs BigQuery
This comparison turns on one question, and it is not about features. It is about whether your query load is spiky or steady.
Who arrives here
Your data is largely Google Ads and GA4, somebody pointed BigQuery at it, and it worked immediately. Now dashboards are multiplying and the per-query line is growing in a way nobody forecast.
What each one charges for
| They charge you for | BigQuery | Antvia | Why it matters |
|---|---|---|---|
| Compute and volume | Charged | Not charged | More data or more refreshes, bigger bill |
| Users | Not charged | Not charged | Every extra reader costs money, forever |
| Queries | Charged | Not charged | Asking more questions costs more |
| Sources | Not charged | Charged | Each maintained connection meters |
| Metrics | Not charged | Charged | Each published definition meters |
The one question that decides it
Spiky workloads. A handful of heavy analyses a week, nothing in between. BigQuery is superb here and probably cheaper than us. You pay nothing while idle and there is nothing to size or tune. Buy BigQuery.
Steady workloads. Forty dashboards refreshing through the day, two hundred people opening them, alerts checking thresholds hourly. Every one of those is a scan, and scans are the meter. The bill grows with adoption, which means the platform gets more expensive precisely as it starts working.
Most mid-market reporting is the second shape. Ask which one you have before comparing anything else.
The honest split
- Steady dashboard traffic does not accumulate a per-query bill
- Governance, semantic layer and BI included
- Not tied to one cloud
- The decision loop
- Genuinely excellent for spiky, unpredictable workloads: you pay nothing while idle
- Serverless, with nothing to size or tune
- BigQuery ML puts models next to the data
- Deep Google Ads and GA4 integration, which decides it if that is where your data lives
Where the data lives
BigQuery holds data in its own storage, though BigLake and external tables have softened that considerably. It is a far more open position than it was a few years ago, and we would not claim otherwise.
The remaining difference is the cloud. BigQuery is Google Cloud. Antvia runs in whichever cloud you already use, on open formats, on open-source engines.
Questions we get asked
Can Antvia Intelligence sit on BigQuery? Yes. Same metrics, same decision loop, your existing warehouse.
Is capacity pricing not the answer? Slot commitments do make the bill predictable, and they also remove the on-demand advantage. At that point you are comparing two fixed costs, and the governance and decision layers are what differ.