Pagar.meRedshift

Pagar.me + Redshift

Pagar.me is a Brazilian company specialized in online payment solutions. It provides services that make it easy to integrate payment methods into digital platforms, streamlining online transactions for businesses across a wide range of industries. Amazon Redshift, in turn, is a cloud data warehouse built for fast, efficient analysis of large volumes of data

With Erathos, you can integrate Pagar.me data into Redshift 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 really creates value — extracting actionable insights and making more data-driven decisions.

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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.

What Pagar.me data does Erathos sync with Redshift?

The integration automatically syncs Pagar.me's main objects:

  • Transactions — approved, declined, and refunded payments
  • Subscriptions — plans, status, MRR, and renewal dates
  • Charges — invoices, payment slips, and recurring billing data
  • Refunds — chargebacks and disputes with full context
  • Customers — profile data and payment history
  • Webhook events — payment approved, failed, subscription canceled, and more

Why sync Pagar.me with Redshift?

Pagar.me’s financial data stays siloed from product and marketing views. In Redshift, you can combine transactions with product usage, campaigns, and support — calculating true MRR by segment, spotting churn patterns before they happen, and understanding each customer’s full financial lifecycle.

How it works

Erathos connects to Pagar.me through the official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Redshift costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: runtime, processed rows, context-rich errors, and instant alerts via Slack or email if anything goes wrong.

Why companies move data from Pagar.me to Redshift with Erathos

Centralizing Pagar.me data in Redshift has never been easier.

Erathos is a data ingestion platform for finance and data teams. With the Pagar.me connector, you automatically sync transactions, subscriptions, charges, and refunds to Redshift—auditable, reliable financial data that is always up to date.

Why do data teams choose Erathos for Pagar.me?

Data in your data warehouse 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 Pagar.me to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos syncs Transactions, Subscriptions, Charges, Refunds, Plans, and Customer data from Pagar.me to Redshift. Webhook events such as approved payments, failed payments, and chargebacks are also captured automatically.

You can configure the sync frequency at the table level, from every 5 minutes up to once daily. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Pagar.me pipeline efficient and Redshift 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 execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect Pagar.me to Redshift and start syncing immediately—no credit card required.

Data ingestion with control, observability and scale