- Connectors
- Pipefy
- Pipefy + Azure SQL Server


Pipefy + Azure SQL Server
Pipefy is a process and workflow management platform designed to optimize task organization and execution across various company departments. Amazon Redshift, on the other hand, is a cloud data warehouse built for fast and efficient analysis of large volumes of data.
With Erathos, your Pipefy data lands in Azure SQL Server fully normalized in relational tables, ready to power Power BI reports or internal applications already running in the Microsoft ecosystem.
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Move data in a few clicks
Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
What Pipefy data does Erathos sync to Redshift?
The integration automatically syncs key Pipefy objects:
- Projects: status, assignees, dates, and settings
- Tasks and subtasks: priority, status, estimates, and assignees
- Sprints: dates, velocity, and planning data
- Members: users, roles, and workload
- Comments: history of discussions and decisions
- Custom fields: team-specific properties and tags
Why sync Pipefy with Azure SQL Server?
In Azure SQL Server, you integrate Pipefy data into the Microsoft ecosystem, using Power BI for executive dashboards and Azure Data Factory for orchestrating broader data pipelines.
How it works
Erathos connects to Pipefy via the official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Azure SQL Server costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.
Centralizing Pipefy data in Azure SQL Server has never been easier
Erathos is a data ingestion platform built for operations and data teams. With the Pipefy connector, you can automatically centralize cards, pipes, and process data in Azure SQL Server—always up-to-date data, with full observability into every run and zero maintenance.
Pipefy data in Azure SQL Server in minutes
Ready-to-use Pipefy connector
Connect Pipefy to Azure SQL Server and automatically export data. Centralize project management information for analysis—no spreadsheets, no scripts.
Learn moreFull control over your Pipefy pipelines
Set the sync schedule, frequency, and type at the table level. Configure sync frequency and type per table. Erathos uses intelligent UPSERT on Azure SQL Server — ensuring data consistency and native integration with Power BI and the Microsoft ecosystem.
Learn moreEnd-to-end observability
Stop finding out about Pipefy issues only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off track — so your analytics always have fresh data.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Pipefy
Other sources that land in Azure SQL Server
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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 run, zero maintenance, and none of the black-box opacity of traditional market tools.
Erathos syncs Pipefy tasks, projects, sprints, members, comments, status, and delivery metrics with your data warehouse, incrementally and without any code.
You can set the sync frequency anywhere from every 5 minutes to 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 Azure SQL Server costs predictable.
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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect Pipefy to Azure SQL Server and start syncing right away — no credit card required.
