Google Analytics + BigQuery
Google Analytics is a web and app analytics tool that provides insights into traffic and user behavior. BigQuery, in turn, is a serverless Big Data solution developed by Google that offers robust storage and large-scale data analysis capabilities.
With Erathos, you can integrate Google Analytics data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to combine this data with other sources in your Data Warehouse. That way, your time goes toward what really creates value — uncovering actionable insights and making more data-driven decisions.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
What Google Analytics data does Erathos sync to BigQuery?
The integration automatically syncs the main Google Analytics objects:
- Events — all tracked events with custom properties
- Sessions — source, duration, device, and behavioral data
- Users — profiles, properties, and activity history
- Conversion funnels — steps, drop-offs, and conversion rates by segment
- Cohorts — retention and engagement over time
- Custom properties — event properties and user properties defined by your team
Why sync Google Analytics with BigQuery?
Google Analytics' native dashboards are great for monitoring product metrics, but they make cross-functional analysis harder. In BigQuery, you can combine product events with CRM, payments, and marketing data — understanding retention by cohort, calculating LTV by segment, and uncovering the activation paths that best predict customer success.
How it works
Erathos connects to Google Analytics through the official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is logged with full observability: execution time, rows processed, contextual errors, and instant alerts via Slack or email if something goes wrong.
Consolidating Google Analytics data in BigQuery has never been easier
Erathos is a data ingestion platform built for product and analytics teams. With the Google Analytics connector, you can automatically export events, product metrics, and conversion funnels to BigQuery—keeping your data always fresh for analysis, with no manual engineering required.
Data in your data warehouse in minutes
Ready-to-use Google Analytics connector
Connect Google Analytics to BigQuery and automatically export events, metrics, and funnels. Product data stays fresh in your data warehouse—without manual engineering.
Learn moreTotal control over your Google Analytics pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
Learn moreEnd-to-end observability
Stop discovering Google Analytics issues only after the business team complains. Every run is logged with runtime, rows processed, and error context. Automatic alerts via Slack, Discord, or email the moment anything deviates from expectations — so your product metrics stay reliable for roadmap decisions.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Google Analytics
Google Analytics + Amazon S3
Coming soon
Google Analytics + Azure SQL Server
Coming soon
Google Analytics + Azure Synapse
Coming soon
Google Analytics + ClickHouse
Coming soon
Google Analytics + Databricks
Coming soon
Google Analytics + PostgreSQL
Coming soon
Google Analytics + Redshift
Coming soon
Google Analytics + Snowflake
Coming soon
Google Analytics + Supabase
Coming soon
Other sources that land in BigQuery
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Google Analytics to their data warehouse—with full observability into every run, zero maintenance, and without the opacity of traditional market tools.
Erathos syncs Events, Sessions, Users, Conversion Funnels, and Product Metrics from Google Analytics to BigQuery. Custom event properties and user properties are automatically exported along with each record.
You can configure synchronization frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental sync—only new or updated records are processed in each run—keeping your Google Analytics pipeline efficient and BigQuery costs predictable.
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect Google Analytics to BigQuery and start syncing immediately—no credit card required.