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Exact Sales + BigQuery

Exact Sales is a pre-sales solution that streamlines lead qualification and speeds up sales. BigQuery, in turn, is Google’s serverless big data platform, providing robust large-scale data storage and analytics capabilities.

With Erathos, you can integrate Exact Sales data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine this data with other sources in your Data Warehouse. That way, your time goes to what really creates value — uncovering actionable insights and making more data-driven decisions.

What Exact Sales data does Erathos sync to BigQuery?

The integration automatically syncs the main Exact Sales objects:

  • Contacts — emails, lifecycle stages, and custom properties

  • Companies — firmographic data, industry, and activity history

  • Deals — pipeline stages, amounts, and close dates

  • Activities — calls, meetings, tasks, and notes from the sales team

  • Interaction history — emails, calls, and engagement records

  • Custom fields — properties created by your team, automatically included

Why sync Exact Sales with BigQuery?

Exact Sales’s native reports are useful for day-to-day work, but they have a clear limit. Bringing the data into BigQuery lets you combine it with other sources — product usage, financial data, ad spend, customer support — to answer questions Exact Sales alone can’t: true acquisition cost, full-funnel conversion rate, and cohort and campaign retention.

How it works

Erathos connects to Exact Sales via its 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 destination dataset. Each run is logged with full observability: execution time, processed rows, context-rich errors, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why do data teams choose Erathos for Exact Sales?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Exact Sales connector ready to use

Connect Exact Sales to BigQuery in minutes with our native connector. Contacts, deals, companies, and activities are automatically synced—without a single line of code and with support for custom properties.

Full control over your Exact Sales 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.

End-to-end observability

Stop finding out about Exact Sales 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 something goes off track — so your data team doesn’t have to rely on the business team to catch failures.

No credit card required

No credit card required

Why Companies Move Data from Exact Sales to BigQuery with Erathos

Centralizing Exact Sales data in BigQuery has never been easier

Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the Exact Sales connector, you automatically move contacts, deals, companies, and sales activities to BigQuery—with full observability into every run and zero maintenance.

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Our Customers

Writing data-driven stories

Writing data-driven stories

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    carlos-brick

    5

    carlos-brick

    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.

    bruno-brick

    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.

    thiago-brick

    7

    thiago-brick

    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.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    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.

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    carlos-brick

    5

    carlos-brick

    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.

    bruno-brick

    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.

    thiago-brick

    7

    thiago-brick

    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.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    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

Move your data in minutes

Move your data in minutes

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

Frequently Asked Questions

Frequently Asked Questions

What is Erathos and how can it help my company?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Exact Sales to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

What Exact Sales data does Erathos sync to BigQuery?

Erathos syncs the core Exact Sales objects: Contacts, Companies, Opportunities/Deals, Activities, Tasks, and Interaction History. Custom fields created by your team are also supported and become automatically available in BigQuery.

How often does Erathos synchronize data from Exact Sales to BigQuery?

You can configure the synchronization frequency at the table level, from every 5 minutes up to once a day. Erathos uses incremental sync—only new or updated records are processed in each run—keeping the Exact Sales pipeline efficient and BigQuery costs predictable.

What happens if an Exact Sales sync fails?

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.

Is there a free trial period for the Exact Sales connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Exact Sales to BigQuery and start syncing immediately—no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale