AgendorBigQuery

Agendor + BigQuery

Agendor is a CRM platform for sales management and customer relationship management that lets you track sales pipelines and organize contacts. BigQuery, in turn, is a serverless big data solution from Google that delivers robust large-scale data storage and analytics capabilities.

With Erathos, you can integrate Agendor data into BigQuery in just a few minutes. Our platform handles the entire data movement process to your analytics environment and lets you blend that data with other sources in your data warehouse. That way, your time goes toward what really creates value — extracting actionable insights and making more data-driven decisions.

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Rabbot
Auvo
Roqt
Xperiun
Tecnova
WePayments
Brick
CCM
Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

Which Agendor data does Erathos sync to BigQuery?

The integration automatically syncs Agendor’s core objects:

  • Contacts — email addresses, lifecycle stages, and custom properties
  • Companies — firmographic data, industry, and activity history
  • Deals — pipeline stages, values, and close dates
  • Activities — calls, meetings, tasks, and sales team notes
  • Interaction history — emails, calls, and engagement records
  • Custom fields — properties created by your team, included automatically

Why sync Agendor with BigQuery?

Agendor’s native reports are useful for day-to-day operations, but they have clear limits. Moving the data into BigQuery lets you combine it with other sources — product usage, financial data, media spend, customer support — to answer questions Agendor alone can’t: true acquisition cost, full-funnel conversion rate, and retention by cohort and campaign.

How it works

Erathos connects to Agendor via 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 fully observable: run time, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.

Why companies move data from Agendor to BigQuery with Erathos

Centralizing Agendor data in BigQuery has never been so simple

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

Why do data teams choose Erathos for Agendor?

Data in your data warehouse in minutes

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Building 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.

Bruno Rosso
Bruno RossoData Analyst, Brick Software

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.

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

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.

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

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.

Thiago Paz
Thiago PazCFO, Brick

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.

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

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.

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Agendor to their data warehouse—with complete observability into every run, zero maintenance, and without the opacity of traditional market tools.

Erathos synchronizes Agendor’s main objects: Contacts, Companies, Deals, Activities, Tasks, and Interaction History. Custom fields created by your team are also supported and automatically become available in BigQuery.

You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the Agendor 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 Agendor to BigQuery and start syncing immediately — no credit card required.

Data ingestion with control, observability and scale