Pagar.me + Amazon S3
Pagar.me 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.
No credit card required. Upgrade whenever you want.
Trusted by great companies
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.
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.
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.
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.
Learn moreFull 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.
Learn moreEnd-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.
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 Pagar.me
Other sources that land in Amazon S3
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 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.
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.
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.
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 Amazon S3 and start syncing right away — no credit card required.