
Bring Fever data into your Data Warehouse
Fever is a global platform for discovering and purchasing tickets to experiences, events, and cultural activities. Present in more than 100 cities around the world, Fever connects event organizers with engaged audiences through an intuitive app and personalized recommendations. In addition to ticket sales, the platform offers audience analytics tools, event management, and behavioral audience data, making it a strategic partner for event organizers.
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Create a single source of truth
What is Erathos?
Integrate Fever data and understand your audience behavior
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 Fever with 80+ other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your data in a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Build Fever data pipelines fast: select the relevant data, set the schedule, frequency, and refresh type—no code required. You stay fully in control, with complete flexibility.
Cutting-edge observability
Monitor your Fever pipelines with real-time alerts via email, Slack, or Discord. Stop getting 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






















