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.
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Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
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.
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.
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.
Learn moreFull 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.
Learn moreEnd-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.
Learn moreBuilding 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.”
“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.”
“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.”
“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.”
“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.”
“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.”
Other paths for your data
Other destinations for Fever
Other sources that land in BigQuery
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
Erathos synchronizes Fever event data, ticket sales, audience profiles, acquisition channels, and performance metrics with your Data Warehouse incrementally and without code.
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.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Fever to BigQuery and start syncing right away — no credit card required.