Pipefy + BigQuery
Pipefy is a process and workflow management platform designed to streamline the organization and execution of tasks across different areas of a company. BigQuery, on the other hand, is Google’s serverless big data solution, offering robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate Pipefy data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your data warehouse. That way, your time goes to what actually drives value — extracting actionable insights and making more data-driven decisions.
Which Pipefy data does Erathos sync with BigQuery?
The integration automatically syncs Pipefy’s core objects:
Projects — status, owners, dates, and settings
Tasks and subtasks — priority, status, estimates, and owners
Sprints — dates, velocity, and planning data
Members — users, roles, and workload
Comments — discussion and decision history
Custom fields — team-defined properties and tags
Why sync Pipefy with BigQuery?
Pipefy reports show project progress, but not business impact. In BigQuery, you can connect productivity data with product, revenue, and customer satisfaction metrics — calculating lead time, identifying systemic bottlenecks, and correlating delivery speed with business outcomes.
How it works
Erathos connects to Pipefy via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is logged with full observability: runtime, rows processed, contextual errors, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for Pipefy?
Ready-to-use Pipefy connector
Connect Pipefy to BigQuery and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis—no CSVs, no scripts.
Total control over your Pipefy pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
End-to-end observability
Stop finding Pipefy failures only after the business team complains. Every run is logged with runtime, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off track — always-fresh productivity data for your sprint reports.
Why companies are moving data from Pipefy to BigQuery with Erathos
Centralizing Pipefy data in BigQuery has never been this simple
Erathos is a data ingestion platform for operations and data teams. With the Pipefy connector, you can automatically export tasks, projects, sprints, and productivity data to BigQuery—centralized productivity data ready for analysis.
Our Customers
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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 create a streamlined path forward.
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
Does Erathos transform Pipefy data before sending it to BigQuery?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Pipefy to their data warehouse—with full observability into every pipeline run, zero maintenance, and none of the opacity of traditional market tools.
What Pipefy data does Erathos sync to BigQuery?
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Pipefy to BigQuery. Custom fields, tags, and task dependencies created by your team are also exported.
How often does Erathos synchronize data from Pipefy to BigQuery?
You can configure synchronization frequency from every 5 minutes to once daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Pipefy pipeline efficient and BigQuery costs predictable.
What happens if a Pipefy synchronization fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the Pipefy connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Pipefy to BigQuery and start syncing immediately—no credit card required.