

Pipefy + BigQuery
Pipefy is a process and workflow management platform aimed at optimizing the organization and execution of tasks across various areas of a company. BigQuery, on the other hand, is a serverless solution developed by Google, providing robust capabilities for large-scale data storage and analysis.
With Erathos, you can integrate data from Pipefy into BigQuery in just a few minutes. Our platform handles the entire data movement process to your analytical environment and allows this data to be cross-referenced with other sources in your Data Warehouse. This way, your time is focused on what truly adds value — extracting valuable insights and making more data-driven decisions.
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Why Erathos?
Plug and play connectors
More than 50 plug-and-play connectors to consolidate information from multiple sources, eliminating time-consuming manual processes and establishing a clear path to actionable and reliable insights.
Greater control over pipelines
Transform the way you manage data. Quickly create pipelines by selecting relevant data, setting the schedule, frequency, and type of update without a line of code.
Edge observability
Stop being caught off guard by data update errors. Set up alerts and notifications in your email, Slack, or Discord to closely monitor the status and performance metrics of your data pipelines.
What is Erathos?
Gather data from different sources in one place
Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you centralize all your data in a single analytical environment and build a Data Warehouse in minutes.
Our customers
Simplified data ingestion
1
Select your data source
Choose your data source between over 50 plug'n'play connectors. You can test each connector for 14 days.
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 Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
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