# Pagar.me + Amazon S3

> Store data as Parquet in S3 Iceberg with Erathos. Sync data from Pagar.me with Erathos — an incremental, no-code pipeline with observability

Source: https://www.erathos.com/en/pipelines/pagar-me-amazon-s3
Em português: https://www.erathos.com/pipelines/pagar-me-amazon-s3

Pagar.me [Pagar.me](http://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 different industries.

With Erathos, you can integrate data from Pagar.me into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your data lake and lets you combine that data with other sources. That way, your time goes where it truly creates value — extracting insights and making data-driven decisions.

### Which Pagar.me data does Erathos sync with Amazon S3?

The integration automatically syncs the main Pagar.me objects:

- **Transactions** — amount, date, status, and payment method
- **Customers and payers** — profile data and payment history
- **Charges and invoices** — due date, status, and retry 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 Amazon S3?

In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archiving and ML feature stores.

### 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 Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the target bucket. Each run is logged with full observability: runtime, processed rows, contextual errors, and alerts via Slack or email.

## Pagar.me data in Amazon S3 in minutes

### Ready-to-use Pagar.me connector

Connect Pagar.me to Amazon S3 and automatically export data. Centralize financial information for analysis — without spreadsheets or scripts.

### Full control over your Pagar.me pipelines

Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.

### End-to-end observability

No more finding out about Pagar.me 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 deviates from expectations — so your analytics always stay fresh.

## Centralizing Pagar.me data in Amazon S3 has never been so simple

Erathos is a data ingestion platform built for finance and data teams. With the Pagar.me connector, you automatically centralize transactions, customers, and financial data in Amazon S3 — always up-to-date data, full observability into every run, and zero maintenance.

## FAQ

### What is Erathos, and how can it help my business?

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 behavior you get with traditional market tools.

### What Pagar.me data does Erathos sync to Amazon S3?

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.

### How often does Erathos sync data from Pagar.me to Amazon S3?

You can configure the sync frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Pagar.me pipeline efficient and Amazon S3 costs predictable.

### What happens if a Pagar.me sync 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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

### Is there a free trial period for the Pagar.me connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Pagar.me to Amazon S3 and start syncing right away — no credit card required.