NuvemShopSnowflake
Coming soon

NuvemShop + Snowflake

NuvemShop (Tiendanube) is one of the largest e-commerce platforms in Latin America, used by merchants to build and manage their online stores.

With Erathos, you can integrate NuvemShop data into Snowflake in just a few minutes. Our platform handles the entire data pipeline into your analytical environment, allowing you to blend this data with other sources in your Data Warehouse. This frees up your time to focus on what actually drives value: uncovering deep insights and making more data-driven decisions.

Get started

No credit card required. Upgrade whenever you want.

Trusted by great companies

Ace Startups
Kamino
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 NuvemShop data does Erathos sync with Snowflake?

The integration automatically syncs the core NuvemShop objects:

  • Orders: status, total value, line items, and payment method for each order
  • Products: catalog, variants, price, and inventory
  • Customers: profile details and purchase history
  • Categories: catalog category hierarchy
  • Coupons and discounts: promo code rules and usage

Why sync NuvemShop with Snowflake?

In Snowflake, you can combine NuvemShop data with other sources using elastic compute, without resource contention between different teams querying the same dataset simultaneously.

How it works

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

Why companies sync NuvemShop data to Snowflake with Erathos

Centralizing NuvemShop data in Snowflake has never been this simple

Erathos is a data ingestion platform built for e-commerce and data teams. With the NuvemShop connector, you can automatically export orders, products, and customers to Snowflake, keeping your sales, product, and purchasing behavior data centralized and ready for analysis.

Why data teams choose Erathos for NuvemShop

Data in your data warehouse in minutes

No credit card required. Upgrade whenever you want.
Our partners

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
Explore

Other paths for your data

Other sources that land in Snowflake

CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.

See every source
FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like NuvemShop to their data warehouse, providing full observability into every execution, zero maintenance, and none of the opacity found in traditional market tools.

Erathos automatically and incrementally syncs Orders, Products, Customers, Categories, Coupons, and discounts from NuvemShop to Snowflake.

You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental syncs, meaning only new or updated records are processed in each run, keeping your NuvemShop pipeline efficient and Snowflake 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, rows processed, and error context, allowing your team to debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect NuvemShop and start syncing as soon as Snowflake is available, with no credit card required.

Data ingestion with control, observability and scale