Fever + BigQuery
Fever is a global platform for discovering and buying tickets to experiences, events, and cultural activities. Available in more than 100 cities around the world, Fever connects event organizers with engaged audiences through an intuitive app and personalized recommendations. Beyond ticket sales, the platform offers audience analytics, event management, and audience behavioral data tools, making it a strategic partner for event organizers.
With Erathos, you can integrate Fever 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 join that data with other sources. That means your time goes toward what really creates value — extracting insights and making data-driven decisions.
What Fever data does Erathos sync with BigQuery?
The integration automatically syncs Fever's main objects:
Campaigns — name, status, channel, start and end dates
Leads and contacts — source of origin, 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 Fever with BigQuery?
In BigQuery, you can combine this data with product, revenue, and customer satisfaction metrics — joining sources in standard SQL with query-based billing. Native integration with Looker Studio, Vertex AI, and BQML enables advanced analytics without extra infrastructure.
How it works
Erathos connects to Fever via the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination in BigQuery. The sync uses incremental loading, processing only new or updated records — keeping BigQuery costs predictable. You choose the sync frequency, the objects to sync, and the destination 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 Fever?
Fever connector ready to use
Connect Fever to BigQuery and automatically export data. Centralize your marketing data for analysis — no spreadsheets, no scripts.
Full control over your pipelines Fever
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 Fever issues when the business team complains. Every run is logged with runtime, rows processed, and error context. Automated alerts via Slack, Discord, or email as soon as anything goes off track — so your analytics always use fresh data.
Why companies move data from Fever to BigQuery with Erathos
Centralizing Fever data in BigQuery has never been easier
Erathos is a data ingestion platform built for operations and data teams. With the Fever connector, you automatically centralize event, ticketing, and audience data in BigQuery — always up to date, with full observability into every execution 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
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 Fever to their data warehouse — with full observability into every run, zero maintenance, and none of the black-box behavior of traditional market tools.
What data from Fever does Erathos sync to BigQuery?
Erathos synchronizes Fever event data, ticket sales, audience profiles, acquisition channels, and performance metrics with your Data Warehouse incrementally and without code.
How often does Erathos sync data from Fever 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 Fever's pipeline efficient and BigQuery costs predictable.
What happens if a Fever 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 period for the Fever connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Fever to BigQuery and start syncing right away — no credit card required.