Datascale Integrations Data WarehouseBigQuery

BigQuery as the central warehouse for your marketing data

Name: BigQuery
Brand: Google

Google

EU regionData Warehouse

Serverless data warehouse for the modern data stack. Petabyte scale, SQL-native, tightly integrated with GA4, dbt, and the Google ecosystem.

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4.4of 5.0

Editorial overall score from 4 criteria. Not a vendor ranking, no paid placement.

Hosting · EU-RegionPricing · Usage-based (storage + queries)Vendor · USAlast reviewed · May 2026copy updated · Aug 2026

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Criteria scores

How we arrive at 4.4.

Editorial verdict

4.4/ 5

BigQueryGoogle · USA

BigQuery is a data warehouse from Google. Best suited when marketing data from GA4, sGTM and connectors should converge in one queryable place. Not a fit when a Microsoft or Snowflake stack already exists. Then we build there, not in parallel. Editorial rating: 4.4 out of 5 across 4 criteria. Reviewed May 2026.

Serverless data warehouse for the modern data stack. Petabyte scale, SQL-native, tightly integrated with GA4, dbt, and the Google ecosystem.

Scalability5.0 out of 5Serverless into the petabyte range, no cluster management.
EU data sovereignty3.5 out of 5An EU region exists, but the default is US and the vendor stays Google.
Value for money4.0 out of 5Usually cheaper than Snowflake for marketing workloads under 1 TB a month.
Low maintenance5.0 out of 5No cluster, no updates, no ops team of your own.

Overall: mean of the criteria above.

DisclosureNo moneyNo commercial relationship with this vendor. We earn nothing from this recommendation.

Change log

Unchanged since the first review.

Reviewed by Juri SaloidAs of 2026-05-20How we score

Strengths

When marketing data from GA4, sGTM and connectors should converge in one queryable place.

Limits

When a Microsoft or Snowflake stack already exists. Then we build there, not in parallel.

What we use it for

Our verdict.

Every GA4 export, every sGTM stream lands here in europe-west3. From here dbt models onward.

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4.4overall score

4criteria

EU regionoperating model

May 2026last reviewed

In depth

BigQuery vs Snowflake for marketing

For marketing-analytics workloads under 1 TB/month, BigQuery is simply cheaper. Snowflake bills compute minutes, BigQuery bills bytes. The GA4 raw export lands directly in BigQuery (no middleman), and Google Ads / Search Ads 360 have native connectors. For a marketing stack, that saves 2–3 integrations.

Snowflake becomes the better choice at mixed enterprise workloads (analytics + app data + ML features) where multi-cloud or cross-region sharing matters.

EU region, not optional

BigQuery datasets must be created explicitly in europe-west1 (Belgium) or europe-west3 (Frankfurt). The default is US, and GA4 exports automatically write to the dataset's region. Miss this and you unintentionally land on US cloud, in doubt, in violation of your own privacy policy.

Our BigQuery setup

Ingest: GA4 raw export, Google Ads, Funnel.io (for Meta/TikTok/LinkedIn), Stape event logs
Modelling: dbt Core, CI via GitHub Actions
Governance: row-level security, separate datasets per use case, BigQuery admin dashboard
Cost control: date partitioning, slot reservations from ~€2,000/month spend
BI layer: Data Studio (free) or Looker (enterprise) depending on governance requirements

Head-to-head comparisons

BigQuery vs. Snowflake

Both carry a modern data stack. The difference is rarely performance; it is cloud strategy and billing: BigQuery bills bytes and lives in the Google ecosystem, Snowflake bills compute minutes and runs on any cloud.

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Score, rating axes, pricing model and where each Data Warehouse tool stops, next to each other.

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Sources

Google Cloud: BigQuery pricing (accessed 2026-08-10)

Topical context

FAQ · 3 questions

The most common questions.

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Yes, if the BigQuery dataset sits in an EU region (europe-west1 Belgium or europe-west3 Frankfurt) and the Google DPA is signed. By default the dataset is created in the US, that has to be changed actively. Without an EU region and DPA there's no clean GDPR path.

For GA4 export plus ad data at medium volume (10–50 M events/month): €50–€300 per month. Storage is ~€0.02/GB, queries €5/TB. With partitioning and slot reservations from ~€2,000/month spend, the cost stabilises, before reservations, budget discipline matters.

Yes, all three have native BigQuery connectors. Data (Looker) Studio is free and the default entry point for GA4 data. Power BI and Tableau need a service account, and at high data volume slot reservations to prevent dashboards from becoming query-cost drivers.

Alternatives in this category

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Snowflake

Cloud data warehouse with elastic separation of compute and storage, a multi-cloud option, and an EU region. The alternative to BigQuery.

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ClickHouse

Blazing fast columnar database for real-time analytics. Open-source and easily self-hosted in the EU, but requires data engineering resources as its SQL dialect has quirks.

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Delivery

We set it up. Or tell you that you do not need it.

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