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 data in BigQuery in minutes

Fever data in BigQuery in minutes

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.

No credit card required

No credit card required

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

Writing data-driven stories

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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 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.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale