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BigQuery Pricing

Enterprise-grade data warehouse for marketing agencies

BigQuery
Enterprise

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For organizations that need scalable, warehouse-grade marketing data

  • 35+ data source connectors available
  • Flexible pricing based on connectors & accounts needed
  • No data volume fees
  • Full access to our fields catalog
  • Full access to our platform
  • Includes Detrics forClaude Claude
  • Dedicated support & custom SLA

* Free, no commitment

✓ No commitment required · ✓ Personalized onboarding · ✓ Monthly billing available

Want a team to set it up and keep it running? Explore managed services →

Looking for Data Services?

We offer consultancy, per-project work, and monthly hours from our data engineers.

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  • Consultancy & data strategy
  • Per-project delivery
  • Monthly data-engineering hours
FAQ

Everything you need to know about BigQuery

Detrics for BigQuery lets you sync marketing data from 35+ platforms directly into your Google BigQuery data warehouse. It includes a visual table builder, automated scheduled transfers, pre-built table templates for every platform, and incremental sync to minimize costs. No SQL knowledge required to get started.
Pricing is based on the number of connectors and ad accounts you need. Core connectors are included in every plan, with premium connectors available as add-ons. Both monthly and annual billing are available at all tiers, and you can stay on monthly for as long as you like. Book a demo for a personalized quote.
Detrics offers flexible connector bundling so you only pay for what you need. We support incremental sync to minimize BigQuery costs, CRM-like data structures, and ad creative image storage, features most competitors lack. Add monthly billing at every price point, per-table configuration, and an AI-powered query layer, and the result is a significantly more competitive and flexible solution.
Yes. You connect your own Google Cloud project. This means you fully own and control your data, and you only pay Google directly for storage and compute. Detrics handles the entire sync pipeline: connections, scheduling, schema management, and incremental updates.