Stream data from Google Ads to Google Bigquery
Move data from Google Ads to Google Bigquery in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
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- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Google Ads with Google Bigquery in 3 simple steps
Connect Google Ads as your data source
Set up a source connector for Google Ads in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Google Bigquery as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Google Bigquery.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Google Ads connector details
The Google Ads connector continuously syncs advertising performance and campaign data from one or more Google Ads accounts into Estuary collections. By leveraging the Google Ads API, it enables right-time visibility across accounts, campaigns, and creatives for more informed marketing analytics.
- Broad data coverage: Capture granular data across key resources such as campaigns, ad groups, keywords, click views, and performance reports, or build custom GAQL queries for tailored insights.
- Right-time sync: Updates incrementally within your defined window, ensuring timely access to advertising metrics without hitting API limits.
- Flexible authentication: Connect securely via OAuth2 in the Estuary UI or use developer credentials (Client ID, Secret, Developer Token, and Refresh Token) for automated syncs.
- Multi-account management: Easily capture data from multiple Google Ads accounts under a single manager account (MCC) for unified reporting.
- Custom reporting: Define GAQL-based queries to materialize your own metrics and KPIs directly in your data warehouse or analytics stack.
💡 Data freshness: Right-time polling (incremental syncs) — ideal for near-live marketing analytics and multi-channel performance dashboards.

Google Bigquery connector details
Estuary’s Google BigQuery materialization connector writes Estuary collections into tables within a BigQuery dataset for scalable analytics and near real-time reporting. The connector stages data through Google Cloud Storage, then applies standard merges or high-speed delta updates so BigQuery stays current as upstream data changes.
- Materialize Estuary collections into BigQuery tables within a selected BigQuery dataset.
- Use a Google Cloud Storage bucket as a temporary staging area for reliable delivery into BigQuery.
- Create the staging bucket in the same region as the destination BigQuery dataset.
- Support both standard merge mode and delta update mode for performance and update flexibility.
- Use a Google Cloud service account with access to the BigQuery dataset, BigQuery jobs, BigQuery read sessions, and the staging GCS bucket.
- Enable clustering by primary keys where appropriate to improve query performance on materialized tables.

See how Cosuno uses Google Bigquery
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Google Ads to Google Bigquery pricing estimate
Estimated monthly cost to move 800 GB from Google Ads to Google Bigquery is approximately $1,000.
Data moved
Choose how much data you want to move from Google Ads to Google Bigquery each month.
GB
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Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Google Ads to Google Bigquery integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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