EventimAmazon S3

Eventim + Amazon S3

Eventim is one of the world’s largest ticketing platforms, present in dozens of countries and responsible for distributing millions of tickets for concerts, festivals, theater, sports, and other cultural events. With a robust e-commerce infrastructure and partnerships with major promoters and venues, Eventim centralizes the entire ticket journey — from purchase to validation at the door — providing rich data on sales, customers, and audience behavior.

With Erathos, you can integrate Eventim 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. This way, your time is spent on what really creates value — extracting insights and making data-driven decisions.

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Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

What Eventim data does Erathos sync with Amazon S3?

The integration automatically syncs Eventim’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 Eventim 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 Eventim via the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the target bucket. Each run is logged with full observability: runtime, rows processed, errors with context, and alerts via Slack or email.

Why companies move data from Eventim to Amazon S3 with Erathos

Centralizing Eventim data in Amazon S3 has never been easier

Erathos is a data ingestion platform built for operations and data teams. With the Eventim connector, you automatically centralize events, tickets, and audience data in Amazon S3 — always up to date, with full observability into every run and zero maintenance.

Why do data teams choose Erathos for Eventim?

Eventim data in Amazon S3 in minutes

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Building 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.

Bruno Rosso
Bruno RossoData Analyst, Brick Software

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.

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

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.

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

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.

Thiago Paz
Thiago PazCFO, Brick

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.

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

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.

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Eventim to their data warehouse — with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos syncs ticket sales, event, customer, distribution channel, and sales performance data from Eventim to 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 the Eventim pipeline efficient and Amazon S3 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 Eventim to Amazon S3 and start syncing right away — no credit card required.

Data ingestion with control, observability and scale