Pagar.meAzure SQL Server

Pagar.me + Azure SQL Server

Pagar.me is a Brazilian company specializing in online payment solutions. It offers services that enable payment method integration into digital platforms, making online transactions easier for businesses across a range of industries.

With Erathos, you can integrate Pagar.me data into Azure SQL Server in just minutes. Our platform handles the entire data movement process into your relational database in the Azure cloud and makes it possible to combine that data with other sources. That way, your time goes where it really creates value — extracting insights and making data-driven decisions.

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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 Pagar.me data does Erathos sync with Azure SQL Server?

The integration automatically syncs the main objects from Pagar.me:

  • Transactions — amount, date, status, and payment method
  • Customers and payers — profile and payment history
  • Charges and invoices — due date, status, and attempts
  • Plans and subscriptions — type, billing cycle, and amount
  • Webhook events — payment, cancellation, and refund notifications
  • Payouts — dates, net amounts, and fees

Why sync Pagar.me with Azure SQL Server?

In Azure SQL Server, you can connect this data to the Microsoft ecosystem — Power BI for executive dashboards, Azure Data Factory for orchestration, and Azure Synapse for large-scale analytics. Ideal for teams already operating in the Azure cloud and needing reliable operational data in SQL Server.

How it works

Erathos connects to Pagar.me via the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Azure SQL Server. The sync uses intelligent UPSERT in Azure SQL Server to ensure consistency even during reprocessing. You choose the sync frequency, the objects to sync, and the target database. Each run is logged with full observability: execution time, rows processed, and alerts via Slack or email.

Why companies move data from Pagar.me to Azure SQL Server with Erathos

Centralizing Pagar.me data in Azure SQL Server has never been easier

Erathos is a data ingestion platform built for finance and data teams. With the Pagar.me connector, you automatically centralize transactions, customer data, and financial data in Azure SQL Server — always up-to-date data, full observability into every run, and zero maintenance.

Why do data teams choose Erathos for Pagar.me?

Pagar.me data in Azure SQL Server 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 black-box opacity of traditional off-the-shelf tools.

With Erathos, you can sync transactions, charges, payments, customers, plans, and financial reports from Pagar.me directly to your data warehouse, with incremental updates and no code required.

You can configure the sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Pagar.me 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 Pagar.me to Azure SQL Server and start syncing immediately — no credit card required.

Data ingestion with control, observability and scale