Pipefy + Databricks
Pipefy is a process management and workflow platform designed to streamline the organization and execution of tasks across different areas of a company. Databricks, on the other hand, is a serverless big data solution that provides robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate Pipefy data into Databricks 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 where it really creates value — extracting actionable insights and making more data-driven decisions.
Which Pipefy data does Erathos sync with Databricks?
The integration automatically syncs Pipefy's main 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 Databricks?
Pipefy reports show project progress, but not the business impact. In Databricks, you can connect productivity data with product, revenue, and customer satisfaction metrics — calculating actual delivery time, identifying systemic bottlenecks, and correlating execution 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 Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination dataset. Each run is logged with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if something goes wrong.
No credit card required.
Why do data teams choose Erathos for Pipefy?
Ready-to-use Pipefy connector
Connect Pipefy to Databricks and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis — no CSVs, no scripts.
Total control over your Pipefy pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
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 Move Data from Pipefy to Databricks with Erathos
Centralizing Pipefy data in Databricks has never been easier
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 Databricks—centralized productivity data ready for analysis.
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 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
What is Erathos and how can it help my company?
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.
Which Pipefy data does Erathos synchronize to Databricks?
Erathos synchronizes Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Pipefy to Databricks. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos synchronize data from Pipefy to Databricks?
You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the Pipefy pipeline efficient and Databricks 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 Databricks and start syncing immediately—no credit card required.