# Sankhya + Amazon S3

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

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

Sankhya is a Brazilian ERP that offers integrated management solutions for process automation and business efficiency, covering areas such as finance, sales, and HR.

With Erathos, you can integrate Sankhya data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your data lake and enables that data to be joined with other sources. That way, your time goes to what truly creates value — extracting insights and making data-driven decisions.

### Which Sankhya data does Erathos sync with Amazon S3?

The integration automatically syncs the main Sankhya objects:

- **Orders and sales** — number, status, items, and amounts
- **Customers** — profile data, purchase history, and balance
- **Products and inventory** — code, available quantity, and movements
- **Finance** — accounts payable, accounts receivable, entries, and balances
- **Suppliers** — profile data, purchase orders, and commercial terms
- **Invoice** — issuance, status, and tax data

### Why sync Sankhya 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 archival and ML feature stores.

### How it works

Erathos connects to Sankhya through 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 destination bucket. Each run is logged with full observability: execution time, processed rows, contextual errors, and alerts via Slack or email.

## Sankhya data in Amazon S3 in minutes

### Sankhya ready-to-use connector

Connect Sankhya to Amazon S3 and automatically export data. Centralize ERP data for analysis—no spreadsheets, no scripts.

### Full control over your Sankhya 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

Stop finding out about Sankhya issues only when the business team complains. Every run is logged with execution time, processed rows, and error context. Get automatic alerts via Slack, Discord, or email the moment something goes off track — so your analyses always use fresh data.

## Centralizing Sankhya data in Amazon S3 has never been easier

Erathos is a data ingestion platform built for finance and data teams. With the Sankhya connector, you automatically centralize orders, inventory, and ERP data in Amazon S3 — always up to date, with 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 Sankhya to their data warehouse—with full observability into every run, zero maintenance, and none of the black-box opacity of traditional market tools.

### Which Sankhya data does Erathos sync to Amazon S3?

Erathos connects Sankhya’s core modules to your Data Warehouse: finance, inventory, orders, customers, suppliers, and more. Data is extracted incrementally, without impacting operations.

### How often does Erathos sync data from Sankhya to Amazon S3?

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

### What happens if a Sankhya 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 Sankhya connector?

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