
Synchronize Pipefy projects with your Data Warehouse
Pipefy is a process and workflow management platform aimed at optimizing the organization and execution of tasks across various areas of a company. With Erathos and the connection to the Pipefy API, it is possible to integrate systems and automate operations, ensuring greater efficiency and control over business processes.
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Create a single source of truth
What is Erathos?
Sync Pipefy projects and track results in real time
Erathos is a complete ELT software solution 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. In addition, the platform enables integration with the Pipefy API, making automation and data transfer between systems efficient and seamless.
Why Erathos?
Plug and play connectors
Connect Pipefy with more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your information in a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Build Pipefy data pipelines quickly: select the relevant data, set the schedule, frequency, and update type—without writing a single line of code. You stay in full control, with complete flexibility.
Edge observability
Monitor your Pipefy pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data is 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






















