TL;DR Short answer: if your warehouse is BigQuery, start with Google's free Google Ads transfer in BigQuery Data Transfer Service. Google Ads ETL tools earn their place when the destination is Snowflake, Databricks or Redshift, or when you want Google Ads spend joined to other ad platforms and your CRM in one pipeline. Whichever you use, conversions keep updating for weeks after a click, so the pipeline has to re-pull recent days rather than load each day once. Ten options:
Airbyte BigQuery Data Transfer Service Fivetran Supermetrics Stitch Data Hevo Data Boomi Data Integration Matillion Meltano Apache Airflow One Google Ads constraint: conversion metrics are attributed back to the day of the click and keep changing for up to the length of your conversion window, often 30 days. A pipeline that loads each day once will undercount recent conversions, so re-pull a rolling window of recent days on every sync.Why move Google Ads data into a warehouse? Google Ads is Google's advertising platform, running campaigns across Search, YouTube, Display, Shopping and Performance Max. It reports well on Google Ads, and it cannot tell you blended customer acquisition cost across channels, or which campaigns produced customers who stayed and paid. Those answers need Google Ads spend sitting next to other ad platforms, CRM opportunities and revenue, which is what a warehouse is for.
How do the Google Ads ETL tools compare? Tool Built for Destinations Hosting Pricing basis Airbyte Data teams, custom queries Any Cloud or self-hosted Free self-hosted; Cloud volume-based; Pro and Flex capacity-based BigQuery Data Transfer Service Anyone on BigQuery BigQuery only Google Cloud Free; BigQuery storage and queries Fivetran Data teams wanting no upkeep Any Cloud Monthly active rows Supermetrics Marketing teams Warehouses, Sheets, Looker Studio Cloud Plan by sources and destinations Stitch Data Teams with simple needs Major warehouses Cloud Row volume tiers Hevo Data Teams without engineers Major warehouses Cloud Events Boomi Data Integration Analytics teams wanting orchestration Major warehouses Cloud Credits Matillion In-warehouse transformation Snowflake, Databricks, Redshift Your cloud account Credits Meltano Engineers who want code Any Singer target Self-hosted Free, open source Apache Airflow Orchestrating custom jobs Cloud Storage, then anywhere Self-hosted or managed Free, you run it
Which Google Ads ETL tools should you consider? Every option below reads Google Ads natively. When you shortlist, check whether it re-pulls a lookback window for conversions and whether it lets you write your own Google Ads Query Language queries for reports it does not ship.
1. Airbyte Airbyte is an open-source data integration platform with 700+ connectors and a community of 25,000+ data engineers. Its Google Ads source syncs campaigns, ad groups, ads, keywords and performance reports across one or more customer accounts, lets you add custom reports written in Google Ads Query Language, and re-reads a configurable conversion window on each incremental sync so late conversions are captured. It loads into any Airbyte destination.
What's unique about Airbyte? Custom GAQL queries mean you are not limited to the reports a vendor ships, and the same pipeline carries Meta, LinkedIn, your CRM and billing data, so blended CAC is one join away. Connectors are open source and editable, and the Connector Development Kit covers anything else. It runs as self-hosted open source, on Airbyte Cloud, or as Enterprise Flex.
2. BigQuery Data Transfer Service BigQuery Data Transfer Service has a native Google Ads connector that loads campaign, ad group, keyword and performance tables into BigQuery on a schedule, at no cost beyond BigQuery storage and queries. A refresh window re-pulls recent days on each run so late conversions are captured, and you can backfill earlier dates on demand. It suits teams whose warehouse is already BigQuery and who are happy with Google's table structure; it writes nowhere else.
3. Fivetran Fivetran is a closed-source, managed ELT service with 700+ connectors, including Google Ads with pre-built and custom reports. It handles schema changes and API version upgrades for you. It bills on monthly active rows, and report tables that re-pull a conversion window rewrite recent rows on every sync, which counts toward the bill.
Here is a closer look at Airbyte vs Fivetran .
4. Supermetrics Supermetrics is a marketing data pipeline platform, and Google Ads is one of its core sources. It exposes the metrics and dimensions marketers already use and loads them into warehouses, Google Sheets or Looker Studio, with Meta, LinkedIn, TikTok and other ad platforms on the same subscription. It suits marketing teams who want cross-channel reporting without a data engineer.
5. Stitch Data Stitch is a cloud extract-and-load platform with 140+ connectors, including Google Ads, originally built on the Singer specification. It has no user-defined transformations and suits straightforward loading. Qlik acquired Talend, and Stitch with it, in 2023, and now publishes a migration path from Stitch to Qlik Talend Cloud, which is worth weighing before committing.
Here is a closer look at Airbyte vs Stitch .
6. Hevo Data Hevo Data is a no-code cloud ELT platform with 150+ connectors, including Google Ads, and built-in transformation applied before data reaches the destination. It is cloud-only and billed on events, which suits teams without engineering capacity.
7. Boomi Data Integration (formerly Rivery) Boomi acquired Rivery in December 2024 and now sells it as Boomi Data Integration. It has a Google Ads connector and bundles transformation, orchestration and reverse ETL in one cloud platform. Pricing is in credits that vary by connector, which can make cost hard to model.
8. Matillion Matillion's cloud platform has a Google Ads connector and pushes transformation down into Snowflake, Databricks or Redshift, with dbt support since v1.70. It bills in credits tied to job runtime and makes most sense when Matillion already runs your warehouse transformations.
Here is a closer look at Airbyte vs Matillion .
9. Meltano Meltano is an open-source, CLI-first platform spun out of GitLab that manages taps and targets as a version-controlled project, with Google Ads extractors on Meltano Hub. It suits teams who want pipelines defined in code. Check that the extractor you choose tracks Google's API versions, since Google retires old versions regularly and connector maintenance falls to the community.
10. Apache Airflow Apache Airflow is an open-source orchestrator, not an ETL tool, but its Google provider includes an operator that runs a Google Ads query and writes the results to Cloud Storage. You still handle the lookback window, schema and loading into the warehouse yourself. It suits teams already on Google Cloud who want the job alongside their other DAGs, or who use it to schedule a connector-based tool such as Airbyte.
Here is a closer look at Airbyte vs Airflow .
How do you get Google Ads data into BigQuery? For most teams on BigQuery, BigQuery Data Transfer Service is the place to start: create a Google Ads transfer in the BigQuery console, authorise it against your account or manager account, set a schedule and a refresh window, and Google loads a standard set of tables daily at no transfer cost.
Use an ETL tool instead, or as well, when you need reports Google's transfer does not include, a custom query in Google Ads Query Language, or the same pipeline to carry Meta, LinkedIn and your CRM into BigQuery so they share one schedule and one model. For Snowflake, Databricks or Redshift, an ETL tool is the only route.
What do you need to access the Google Ads API? Any tool reading the Google Ads API, other than a managed connector that uses its vendor's own credentials, needs four things:
A developer token: requested from the API Center of a Google Ads manager account. A new token works only on test accounts until Google approves it for Basic access, which allows 15,000 operations a day, or Standard access for higher volumes.OAuth credentials: a Google Cloud OAuth client ID and secret, and a refresh token for a user with access to the accounts you want.Customer IDs: the ten-digit IDs of the accounts to read, and the manager account ID if you access them through one.A supported API version: Google releases new Google Ads API versions frequently and sunsets old ones, so a connector that is not kept current will stop working.How do you start syncing Google Ads data with Airbyte? Step 1: Set up Google Ads as a source In Airbyte, open Sources, choose New source and select Google Ads. On Airbyte Cloud, sign in with Google. On Open Source, enter your developer token, OAuth client ID and secret, and refresh token. Add the customer IDs to sync, a start date and a conversion window, add any custom GAQL queries, and run the connection test.
Step 2: Set up a destination Choose where the data lands: a cloud warehouse such as Snowflake, BigQuery or Redshift, a data lake, a database or cloud storage.
Step 3: Configure the connection Select the streams you need, use incremental sync with deduplication so re-pulled days overwrite earlier values, and set a daily schedule.
The process is the same in Airbyte Open Source, which you can deploy yourself , and in Airbyte Cloud, which you can try free for 14 days .
Which Google Ads ETL tool should you choose? On BigQuery with standard reporting needs, use Data Transfer Service; it is free and handles late conversions. For any other warehouse, or when Google Ads needs to sit beside other ad platforms and your CRM, choose by who owns the pipeline: Airbyte, self-hosted or in Cloud, for data teams who want custom queries and one pipeline for every source; Fivetran for zero upkeep if the row-based bill works; Supermetrics for marketing-led teams. Hevo, Stitch and Boomi suit simpler no-code needs, and Matillion, Meltano and Airflow fit where they already run. Whichever you choose, make sure it re-pulls a conversion window.
For tools that cover more than Google Ads, see our guide to the top data integration tools .
Sync Google Ads with Airbyte Move Google Ads campaigns, keywords and conversions into Snowflake, BigQuery or any Airbyte destination, next to your other ad platforms and CRM, self-hosted or in Airbyte Cloud.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. Is the Google Ads to BigQuery transfer free? Yes. BigQuery Data Transfer Service does not charge for Google Ads transfers; you pay standard BigQuery charges for the storage and queries on the loaded tables.
2. Why do Google Ads numbers in my warehouse differ from the interface? Usually because conversions were loaded before they settled. Conversions are credited to the day of the click and keep updating for the length of your conversion window, so a pipeline must re-pull recent days to stay in step. Different attribution settings or time zones between reports are the other common cause.
3. Do you need a developer token to export Google Ads data? For direct API access, yes, requested from a manager account's API Center and approved for at least Basic access before it works on live accounts. Managed connectors such as Fivetran or BigQuery Data Transfer Service use their own access, so you only sign in with Google.
4. How do you get Google Ads data into Snowflake? Use an ETL tool with a Google Ads source and a Snowflake destination, such as Airbyte, Fivetran or Hevo. Google's native transfer only loads BigQuery.
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