PipefySupabase

Pipefy + Supabase

Pipefy is a process and workflow management platform designed to streamline the organization and execution of tasks across different areas of a company. With Erathos and the connection to the Pipefy API, you can integrate systems and automate operations, delivering greater efficiency and control over business processes.

With Erathos, you can integrate Pipefy data into Supabase in just a few minutes. Our platform handles the entire data movement process to your open-source backend platform powered by PostgreSQL and lets that data be combined with other sources. That way, your time is focused on what really creates value — extracting insights and making data-driven decisions.

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Trusted by great companies

Ace Startups
Kamino
Convenia
Vakinha
Linus
Rabbot
Auvo
Roqt
Xperiun
Tecnova
WePayments
Brick
CCM
Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

Which Pipefy data does Erathos sync with Supabase?

The integration automatically syncs Pipefy’s main objects:

  • Projects — status, owners, dates, and settings
  • Tasks and subtasks — priority, status, estimates, and owners
  • Sprints and cycles — 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 Supabase?

In Supabase, your data is available through auto-generated REST and GraphQL APIs based on the schema — directly accessible from your application without extra layers. Row Level Security ensures each user only sees the data they should. Ideal for product teams that want analytical data available in the application database in real time.

How it works

Erathos connects to Pipefy through the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Supabase. The sync uses intelligent UPSERT in Supabase (PostgreSQL) to ensure data consistency. You choose the sync frequency, the objects to sync, and the destination schema. Each run is logged with full observability: runtime, rows processed, and alerts via Slack or email.

Why companies move data from Pipefy to Supabase with Erathos

Centralizing Pipefy data in Supabase has never been this easy

Erathos is a data ingestion platform built for operations and data teams. With the Pipefy connector, you automatically centralize cards, pipes, and process data in Supabase — always up-to-date data, full observability into every execution, and zero maintenance.

Why do data teams choose Erathos for Pipefy?

Pipefy data into Supabase in minutes

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Building 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.

Bruno Rosso
Bruno RossoData Analyst, Brick Software

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.

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

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.

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

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.

Thiago Paz
Thiago PazCFO, Brick

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.

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

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.

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

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 behavior of traditional market tools.

Erathos syncs Pipefy tasks, projects, sprints, members, comments, status, and delivery metrics with your data warehouse, incrementally and without code.

You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync — only new or updated records are processed in each run, keeping the Pipefy pipeline efficient and Supabase 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 Supabase and start syncing right away — no credit card required.

Data ingestion with control, observability and scale