
Centralize Eventim data in your Data Warehouse
Eventim is one of the world’s largest ticketing platforms, operating 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 entry validation—providing rich data on sales, customers, and audience behavior.
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Create a single source of truth
What is Erathos?
Integrate data from Eventim and analyze ticket sales performance
Erathos is a complete ELT platform that extracts data from multiple sources through instant integrations. With plug-and-play connectors, you can centralize all your data in a single analytics environment and build a Data Warehouse in minutes.
Why Erathos?
Plug-and-play connectors
Connect Eventim with 80+ other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your data into a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Build Eventim data pipelines fast: select the relevant data, set the schedule, frequency, and refresh type—no code required. You keep full control with complete flexibility.
Cutting-edge observability
Monitor your Eventim pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and keep your data always up to date and reliable.
Our customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.
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 BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
Data ingestion with control, observability, and scale






















