Convenia + BigQuery

Convenia is a human resources management platform that provides an effective way to automate and streamline HR processes such as payroll administration, benefits management, time tracking, and recruiting. BigQuery, in turn, is a serverless Big Data solution developed by Google that delivers robust capabilities for storing and analyzing data at scale.

With Erathos, you can integrate Convenia 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 that data with other sources in your Data Warehouse. That means your time is spent on what truly creates value — extracting actionable insights and making more data-driven decisions.

Which Convenia data does Erathos sync with BigQuery?

The integration automatically syncs Convenia's core objects:

  • Employees — profile data, role, team, and manager

  • Performance reviews — ratings, competencies, and cycle feedback

  • Feedback cycles — conversation history and development plans

  • Headcount — hires, terminations, and current headcount by team

  • Organizational climate — survey results and eNPS

  • Goals and OKRs — objectives, key results, and progress

Why sync Convenia with BigQuery?

Convenia data stays siloed inside the HR platform, which makes it harder to run cross-analysis against business performance. In BigQuery, you can combine headcount, performance reviews, and engagement data with product and revenue metrics — understanding the real impact people have on outcomes and identifying talent retention patterns early.

How it works

Erathos connects to Convenia through 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. Every run is logged with full observability: execution time, rows processed, contextual errors, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why do data teams choose Erathos for Convenia?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Ready-to-use Convenia connector

Connect Convenia to BigQuery and automatically export employee, performance review, headcount, and organizational climate data. No intermediary spreadsheets, no scripts.

Complete control over your Convenia 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 Convenia failures only after the business team complains. Every run is logged with runtime, processed rows, and error context. Automated alerts via Slack, Discord, or email the moment something deviates from expected behavior — so HR data is always available for your employee engagement and performance analysis.

No credit card required

No credit card required

Why companies move data from Convenia to BigQuery with Erathos

Centralizing Convenia data in BigQuery has never been easier

Erathos is a data ingestion platform for HR and data teams. With the Convenia connector, you can automatically export employee data, performance reviews, and organizational climate insights to BigQuery—without intermediary spreadsheets, without scripts, and with full observability.

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Our Customers

Writing data-driven stories

Writing data-driven stories

  • bruno-brick

    1

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    Bruno Rosso

    Data Analyst

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    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 Convenia to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

What Convenia data does Erathos sync to BigQuery?

Erathos syncs Employee data, Performance Reviews, Feedback Cycles, Headcount, and Organizational Climate from Convenia to BigQuery. Goal information, OKRs, and review history are also exported.

How often does Erathos sync data from Convenia to BigQuery?

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

What happens if a Convenia synchronization 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 Convenia connector?

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

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale