Fever + Databricks
Fever is a global platform for discovering and purchasing tickets for experiences, events, and cultural activities. Operating in over 100 cities worldwide, Fever connects event organizers with highly engaged audiences through an intuitive app and personalized recommendations. Beyond ticketing, the platform provides audience analytics, event management tools, and behavioral data insights, making it a strategic partner for event organizers.
With Erathos, Fever data flows directly into Databricks, fully prepared to feed Machine Learning models and advanced analytics pipelines in the very same environment where your team already processes other data sources.
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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 to Amazon S3?
The integration automatically syncs key Fever objects:
- Campaigns: name, status, channel, start and end dates
- Leads and contacts: source, stage, and engagement metrics
- Performance metrics: impressions, clicks, conversions, and cost per result
- Lists and segments: composition and segmentation criteria
- Automations: workflows, triggers, and conversion rates
- Users: profiles, preferences, and interaction history
Why sync Fever data to Databricks?
In Databricks, your Fever data is ready for Machine Learning models, advanced analytics, and ad hoc queries, all within the same environment where your team already builds data pipelines.
How it works
Erathos connects to Fever via official APIs and syncs your data incrementally: only new or modified records are processed in each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (ranging from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: run time, rows processed, error context, and instant alerts via Slack or email if something fails.
Centralizing Fever’s data in Databricks has never been this easy
Erathos is a data ingestion platform built for operations and data teams. With the Fever connector, you can automatically centralize event, ticketing, and audience data in Databricks — always up-to-date data, full observability into every run, and zero maintenance.
Fever data in Databricks in minutes
Fever Connector ready to use
Connect Fever to Databricks and automatically export data. Centralize your marketing data for analysis — no spreadsheets, no scripts.
Learn moreFull control over your pipelines Fever
Configure schedule, frequency, and sync type at the table level. Configure frequency, sync type, and partitioning per table. Data lands in Databricks in Delta Lake—ready for ML, analytics, and ad hoc queries with predictable cost.
Learn moreEnd-to-end observability
Stop finding out about Fever failures only when the business team complains. Every run is logged with run time, rows processed, and error context. Get automatic alerts via Slack, Discord, or email as soon as something deviates from expectations — so your analytics always have 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 Databricks
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 event data, ticket sales, audience profiles, acquisition channels, and Fever performance metrics with your data warehouse, incrementally and without code.
You can set the 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 Databricks 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 Databricks and start syncing right away — no credit card required.