Eventim + BigQuery

Eventim is one of the world’s largest ticketing platforms, present in dozens of countries and responsible for distributing millions of tickets for concerts, festivals, theater, sports, and other cultural events. With a robust e-commerce infrastructure and partnerships with major promoters and venues, Eventim centralizes the entire ticket journey — from purchase to entry validation — delivering rich data on sales, customers, and audience behavior.

With Erathos, you can integrate Eventim data into BigQuery in just a few minutes. Our platform handles the entire data movement process to your serverless data warehouse and makes it possible to combine that data with other sources. That way, your time goes toward what really creates value — extracting insights and making data-driven decisions.

What Eventim data does Erathos sync with BigQuery?

The integration automatically syncs Eventim’s main objects:

  • Campaigns — name, status, channel, start and end dates

  • Leads and contacts — source, stage, and engagement data

  • Performance metrics — impressions, clicks, conversions, and cost per result

  • Lists and segments — composition and segmentation criteria

  • Automations — flows, triggers, and conversion rates

  • Users — profiles, preferences, and interaction history

Why sync Eventim with BigQuery?

In BigQuery, you can connect this data with product, revenue, and customer satisfaction metrics — joining sources with standard SQL and per-query billing. Native integration with Looker Studio, Vertex AI, and BQML enables advanced analytics without additional infrastructure.

How it works

Erathos connects to Eventim through the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target in BigQuery. The sync uses incremental processing that handles only new or updated records — keeping BigQuery costs predictable. You choose the sync frequency, the objects to sync, and the target dataset. Each run is logged with full observability: run time, rows processed, and alerts via Slack or email.

No credit card required.

Why do data teams choose Erathos for Eventim?

Eventim data in BigQuery in minutes

Eventim data in BigQuery in minutes

Eventim connector ready to use

Connect Eventim to BigQuery and automatically export data. Centralize marketing data for analysis — no spreadsheets and no scripts.

Full control over your Eventim pipelines

Configure sync schedule, frequency, and sync type at the table level. Configure sync schedule, frequency, and sync type at the table level. Incremental sync processes only new or changed records, keeping BigQuery costs low and your analytics always up to date.

End-to-end observability

Stop finding out about Eventim failures only after 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 deviates from expected behavior — so your data stays fresh for analysis.

No credit card required

No credit card required

Why companies are moving data from Eventim to BigQuery with Erathos

Centralizing Eventim data in BigQuery has never been easier

Erathos is a data ingestion platform built for operations and data teams. With the Eventim connector, you automatically centralize event, ticketing, and audience data in BigQuery — always up to date, 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 business?

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

Which Eventim data does Erathos sync to BigQuery?

Erathos syncs ticket sales, event, customer, distribution channel, and sales performance data from Eventim to your Data Warehouse incrementally and without code.

How frequently does Erathos sync Eventim data to BigQuery?

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

What happens if an Eventim 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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

Is there a free trial for the Eventim connector?

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

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale