

HubSpot + BigQuery
HubSpot is an integrated CRM, marketing automation, and sales platform used by more than 200,000 companies worldwide. BigQuery is Google’s fully managed, serverless data warehouse, designed for large-scale analytics. Together, they make a powerful combination — but moving HubSpot data into BigQuery requires a reliable, automated pipeline.
Most ingestion tools treat this connection as a black box. You run a sync, the data appears (or it doesn’t), and when something breaks you have no idea where or why. Erathos is different. Our pipeline gives you full visibility into every job, every row, and every failure — so your team stays in control, not in the dark.
What HubSpot data does Erathos sync to BigQuery?
Erathos syncs HubSpot’s core objects directly into your BigQuery dataset:
Contacts : emails, lifecycle stages, lead scores, and all custom properties
Companies: firmographic data, deal associations, and activity history
Deals: pipeline stages, values, close dates, and owner assignment
Tickets: status, priority, and support ticket resolution time
Emails: open rates, clicks, and campaign performance
Forms: lead capture data from all HubSpot forms
Activities : calls, meetings, tasks, and notes from your sales team
Custom fields: Fields custom-created by your team
Custom objects: In addition to custom fields, objects created by your team are also synced
Why sync HubSpot with BigQuery?
HubSpot’s native reports are useful for day-to-day operations, but they have clear limits. Sending your data to BigQuery lets you combine it with other sources — product usage, financial data, media spend, customer support — to answer questions HubSpot alone can’t. True customer acquisition cost. Full-funnel conversion rate. Retention by cohort and by campaign.
How it works
Erathos connects to HubSpot through the official API and syncs your data incrementally — only new or updated records are processed on 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 target dataset. Every run is logged with complete observability: runtime, processed rows, contextualized errors, and instant Slack or email alerts if something goes wrong. No black box. No surprises. Full control.
No credit card required.


Why do data teams choose Erathos for HubSpot?
HubSpot connector ready to use
Connect HubSpot to BigQuery in minutes with our native connector. Contacts, Deals, Tickets, Forms, and Activities synced automatically, with no code required—and with full support for custom properties.
Total control over your HubSpot pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization ensures that only new or updated records are processed, keeping your BigQuery costs low and predictable.
End-to-end observability
Stop finding out about failures only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off track.
What Is Erathos?
Consolidating HubSpot data in BigQuery has never been easier
Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the HubSpot connector, you can automatically move Contacts, Deals, Tickets, and much more into BigQuery—with full observability into every run and zero maintenance.
Our Customers

1

Bruno Rosso
Data Analyst

Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

10

Luis Ribas
CTO

I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

11

Sayuri Valente
Project Manager

The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

2

Kauê Raizer
Co-founder

Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

3

Matheus Nunes
CTO & Co-founder

Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

4

Fernando R.
Head of Data

Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

5

Carlos Schwabe
Co-Founder & CDO

We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

6

Fernando Costa
CTO & Co-founder

It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

7

Thiago Paz
CFO

If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

8

Felipe Corrêa
CTO & Co-founder

Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

1

Bruno Rosso
Data Analyst

Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

10

Luis Ribas
CTO

I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

11

Sayuri Valente
Project Manager

The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

2

Kauê Raizer
Co-founder

Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

3

Matheus Nunes
CTO & Co-founder

Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

4

Fernando R.
Head of Data

Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

5

Carlos Schwabe
Co-Founder & CDO

We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

6

Fernando Costa
CTO & Co-founder

It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

7

Thiago Paz
CFO

If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

8

Felipe Corrêa
CTO & Co-founder

Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
How do I connect HubSpot to BigQuery with Erathos?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect their SaaS tools—such as HubSpot—to their data warehouse, without the maintenance cost of in-house pipelines or the opacity of traditional ETL tools. Our customers reduce pipeline maintenance by up to 80%.
Does Erathos support HubSpot custom properties?
Yes. Erathos syncs standard and custom properties for Contacts, Companies, Deals, Tickets, and more. If your team has created custom fields in HubSpot, they’ll be automatically available in your BigQuery dataset.
How often does Erathos synchronize HubSpot data to BigQuery?
You can configure sync frequency at the table level, from every 5 minutes up to once per day. Erathos uses incremental synchronization, meaning only new or updated records are processed on each run—keeping the pipeline efficient and BigQuery costs predictable.
What happens if a synchronization fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full execution context—not just 'job failed.' Smart retries handle transient errors, and every run is logged so your team can debug in minutes, not hours.
Is there a free trial period for the HubSpot connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect HubSpot to BigQuery and start syncing immediately—no credit card required.












