eNotasAmazon S3

eNotas + Amazon S3

eNotas is a Brazilian platform specialized in issuing and managing electronic invoices (NF-e, NFS-e, and NFC-e). Through a robust API and integrations with major ERP and management systems, eNotas automates the tax issuance process, validation with municipal authorities and the Receita Federal (Federal Revenue), status queries, and secure storage of tax documents. It is widely used by SaaS companies, marketplaces, and digital businesses that need to scale their tax compliance automation without relying on manual processes or external accounting.

With Erathos, your eNotas data lands on Amazon S3 in organized, query-ready files, without your team having to write a single line of ETL code. This paves the way for querying via Athena or Spark and archiving your complete historical data without the overhead costs of a traditional data warehouse.

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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 eNotas data does Erathos sync to Amazon S3?

The integration automatically syncs key eNotas objects:

  • Transactions: value, date, status, and payment method
  • Customers and payers: profile data and billing history
  • Charges and invoices: due date, status, and retries
  • Plans and subscriptions: type, billing cycle, and pricing
  • Webhook events: payment notifications, cancellations, and chargebacks
  • Payouts: dates, net amounts, and processing fees

Why sync eNotas with Amazon S3?

Inside Amazon S3, your eNotas data is stored in open formats, ready to be queried using Athena, Spark, or any analytical engine, bypassing lock-in with specific data warehouses.

How it works

Erathos connects to eNotas via the official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Amazon S3 costs highly predictable. You choose the sync frequency (ranging from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, contextualized errors, and instant alerts via Slack or email in case of any issues.

Why companies move data from eNotas to Amazon S3 with Erathos

Centralizing eNotas data in Amazon S3 has never been easier

Erathos is a data ingestion platform built for finance and data teams. With the eNotas connector, you automatically centralize invoices, customers, and tax data in Amazon S3 — with data that’s always up to date, full observability into every run, and zero maintenance.

Why do data teams choose Erathos for eNotas?

eNotas data in Amazon S3 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 eNotas 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.

Erathos syncs issued tax invoices, transmission status, customer data, taxable services, and billing metrics from eNotas with your Data Warehouse, incrementally and without code.

You can set the sync frequency anywhere from every 5 minutes to once a day, at the table level. Erathos uses incremental sync — only new or updated records are processed on each run, keeping the eNotas 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 eNotas to Amazon S3 and start syncing right away — no credit card required.

Data ingestion with control, observability and scale