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?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Data in your data warehouse in minutes

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.

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Book a demo

No credit card required

No credit card required

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

Writing data-driven stories

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Read story

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Read story

Com a confiança de grandes empresas

Com a confiança de grandes empresas

Com a confiança de grandes empresas

Simplified data ingestion

Move your data in minutes

Move your data in minutes

Move your data in minutes

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

FAQ

Doubts? We have the answers

Doubts? We have the answers

Does Erathos transform Pipefy data before sending it to BigQuery?

No. Erathos is focused solely on moving data, following the Extract and Load (EL) model. We do not perform any transformations. The data from Pipefy is delivered to BigQuery as-is, so you have full control to handle it within your analytical environment.

Is Erathos a data migration tool?

No. Erathos is not intended for one-way migrations where you stop using the original system. Instead, we build a bridge between your source and destination, keeping data accessible in both places. In the case of Pipefy, your data remains available in the platform even after being loaded into BigQuery.

How frequently is data from Pipefy updated in BigQuery?

The minimum update interval is every 30 minutes. That means your Pipefy data can be synced to BigQuery twice an hour, ensuring near real-time availability without delays in synchronization.

Do I need technical knowledge to integrate Pipefy with BigQuery?

Not at all. Erathos is designed to be user-friendly and straightforward. Setting up the integration between Pipefy and BigQuery takes just a few clicks — no coding or infrastructure management required.

What types of Pipefy data can I send to BigQuery?

You can sync any data made available through the Pipefy API — such as cards, pipelines, custom fields, and more. Once in BigQuery, this data can be cross-referenced with other sources in your Data Warehouse for deeper insights.

Does Erathos transform Pipefy data before sending it to BigQuery?

No. Erathos is focused solely on moving data, following the Extract and Load (EL) model. We do not perform any transformations. The data from Pipefy is delivered to BigQuery as-is, so you have full control to handle it within your analytical environment.

Is Erathos a data migration tool?

No. Erathos is not intended for one-way migrations where you stop using the original system. Instead, we build a bridge between your source and destination, keeping data accessible in both places. In the case of Pipefy, your data remains available in the platform even after being loaded into BigQuery.

How frequently is data from Pipefy updated in BigQuery?

The minimum update interval is every 30 minutes. That means your Pipefy data can be synced to BigQuery twice an hour, ensuring near real-time availability without delays in synchronization.

Do I need technical knowledge to integrate Pipefy with BigQuery?

Not at all. Erathos is designed to be user-friendly and straightforward. Setting up the integration between Pipefy and BigQuery takes just a few clicks — no coding or infrastructure management required.

What types of Pipefy data can I send to BigQuery?

You can sync any data made available through the Pipefy API — such as cards, pipelines, custom fields, and more. Once in BigQuery, this data can be cross-referenced with other sources in your Data Warehouse for deeper insights.

Does Erathos transform Pipefy data before sending it to BigQuery?

No. Erathos is focused solely on moving data, following the Extract and Load (EL) model. We do not perform any transformations. The data from Pipefy is delivered to BigQuery as-is, so you have full control to handle it within your analytical environment.

Is Erathos a data migration tool?

No. Erathos is not intended for one-way migrations where you stop using the original system. Instead, we build a bridge between your source and destination, keeping data accessible in both places. In the case of Pipefy, your data remains available in the platform even after being loaded into BigQuery.

How frequently is data from Pipefy updated in BigQuery?

The minimum update interval is every 30 minutes. That means your Pipefy data can be synced to BigQuery twice an hour, ensuring near real-time availability without delays in synchronization.

Do I need technical knowledge to integrate Pipefy with BigQuery?

Not at all. Erathos is designed to be user-friendly and straightforward. Setting up the integration between Pipefy and BigQuery takes just a few clicks — no coding or infrastructure management required.

What types of Pipefy data can I send to BigQuery?

You can sync any data made available through the Pipefy API — such as cards, pipelines, custom fields, and more. Once in BigQuery, this data can be cross-referenced with other sources in your Data Warehouse for deeper insights.

Build, orchestrate, and trust your data

Build, orchestrate, and trust your data

Build, orchestrate, and trust your data

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