# Fever + Amazon S3

> Store data in Parquet on S3 Iceberg with Erathos. Sync Fever data with Erathos — an incremental, no-code pipeline with observability.

Source: https://www.erathos.com/en/pipelines/fever-amazon-s3
Em português: https://www.erathos.com/pipelines/fever-amazon-s3

Fever is a global platform for discovering and purchasing tickets for experiences, events, and cultural activities. Available in more than 100 cities worldwide, 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 Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your data lake and lets you combine that data with other sources. That way, your time is focused on what really drives value — extracting insights and making data-driven decisions.

### Which Fever data does Erathos sync with Amazon S3?

The integration automatically syncs the main Fever 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** — workflows, triggers, and conversion rates
- **Users** — profiles, preferences, and interaction history

### Why sync Fever with Amazon S3?

In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archiving and ML feature stores.

### How it works

Erathos connects to Fever through 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 Amazon S3. The sync uses automatic partitioning and Parquet file optimization. Each run is logged with full observability: runtime, processed rows, contextual error details, and alerts via Slack or email.

## Fever data in Amazon S3 in minutes

### Fever Connector ready to use

Connect Fever to Amazon S3 and automatically export data. Centralize marketing data for analysis — no spreadsheets, no scripts.

### Full control over your pipelines Fever

Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.

### 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.

## Centralizing Fever data in Amazon S3 has never been easier

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 Amazon S3 — always up to date, with full observability into every run and zero maintenance.

## 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 Amazon S3?

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 Amazon S3?

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 on each run, keeping Fever's pipeline efficient and Amazon S3 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 Amazon S3 and start syncing right away — no credit card required.