SankhyaDatabricks

Sankhya + Databricks

Sankhya is a Brazilian ERP that offers integrated management solutions for process automation and business efficiency, covering areas such as finance, sales, and HR. Databricks, in turn, is a serverless Big Data platform that provides robust capabilities for storing and analyzing data at scale.

With Erathos, you can integrate Sankhya data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your Data Warehouse. That way, your time is spent on what actually drives value — extracting actionable insights and making more data-driven decisions.

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Convenia
Vakinha
Linus
Rabbot
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.

What Sankhya data does Erathos sync to Databricks?

The integration automatically syncs Sankhya's key objects:

  • Invoices — NF-e issued, received, and canceled
  • Orders — sales, purchases, and delivery status
  • Customers and suppliers — master data and transaction history
  • Accounts payable and receivable — cash flow and due dates
  • Inventory — movements, balances, and locations
  • Financial data — P&L, balance sheet, and cost centers

Why sync Sankhya with Databricks?

Sankhya data gives you the most complete financial and operational view of the business — but it stays trapped inside the ERP. In Databricks, you can blend NFs, orders, and cash flow data with CRM, marketing, and product data, building a unified view of profitability by customer, channel, and time period.

How it works

Erathos connects to Sankhya via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target dataset. Every run is logged with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.

Why companies are moving data from Sankhya to Databricks with Erathos

Centralizing Sankhya data in Databricks has never been this simple.

Erathos is a data ingestion platform for BI and data teams. With the Sankhya connector, you can automatically centralize financial, tax, and operational data in Databricks—without custom integrations and with full pipeline observability.

Why do data teams choose Erathos for Sankhya?

Data in your data warehouse 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 Sankhya to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos synchronizes financial, tax, and operational data from Sankhya: invoices, orders, customers, suppliers, accounts payable/receivable, and inventory. Module availability may vary depending on your Sankhya plan and configuration.

You can configure the synchronization frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Sankhya pipeline efficient and Databricks 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 execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect Sankhya to Databricks and start syncing immediately—no credit card required.

Data ingestion with control, observability and scale