Fever + Databricks

Fever is a global platform for discovering and purchasing tickets for experiences, events, and cultural activities. Present in more than 100 cities around the world, Fever connects event producers with engaged audiences through an intuitive app and personalized recommendations. In addition to ticket sales, the platform offers audience analytics, event management, and audience behavioral data tools, becoming a strategic partner for event organizers.

With Erathos, you can integrate Fever data into Databricks in just a few minutes. Our platform handles the entire data movement process to your lakehouse platform and lets you combine that data with other sources. That way, your time is spent on what really drives value — extracting insights and making data-driven decisions.

Which Fever data does Erathos sync with Databricks?

The integration automatically syncs Fever'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 Fever with Databricks?

In Databricks, you combine this data with Delta Lake for ACID transactions, time travel, and schema evolution. Data and ML teams get unified access through Python, SQL, and Spark — ideal for feature engineering, predictive models, and large-scale analytics.

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 every 5 minutes to daily), the objects to sync, and the destination in Databricks. Syncing uses writes to Delta Lake with configurable partitioning. You choose the sync frequency, the objects to sync, and the destination schema. Each run is logged with full observability: execution time, rows processed, and alerts via Slack or email.

No credit card required.

Why do data teams choose Erathos for Fever?

Fever data in Databricks in minutes

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.

Full 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.

End-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.

No credit card required

No credit card required

Why companies are moving data from Fever to Databricks with Erathos

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.

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 Databricks?

Erathos synchronizes event data, ticket sales, audience profiles, acquisition channels, and Fever performance metrics with your data warehouse, incrementally and without code.

How often does Erathos sync data from Fever to Databricks?

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.

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 Databricks and start syncing right away — no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale