How does the Nuvemshop to Amazon S3 data pipeline work?

Kondado connects directly to your Nuvemshop store via API authentication and automatically extracts selected data endpoints on your configured schedule. The platform replicates this information to your Amazon S3 bucket in a structured format, ready for querying with Athena or loading into BigQuery or PostgreSQL for further analysis.

What specific Nuvemshop data can I replicate to Amazon S3?

You can replicate 25 different pipelines including Sales, Products, Customers, Abandoned Carts, Coupons, and Shipping Methods, covering 981 fields total. This includes transaction details, inventory levels, customer custom fields, and promotional data, giving you complete visibility into your e-commerce operations.

How frequently does Nuvemshop data update in my Amazon S3 bucket?

Kondado updates your Amazon S3 data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time replication ensures your data lake reflects current store activity without requiring manual CSV exports or API scripting.

In what format is Nuvemshop data stored in Amazon S3?

Data arrives in Amazon S3 as structured files optimized for analytics engines like Athena, Presto, and Dremio, maintaining schema consistency across all 25 pipelines. This format allows immediate querying without transformation, or you can load the data into Power BI and Looker Studio for visualization.

Can I combine Nuvemshop data with other platforms in Amazon S3?

Yes, Amazon S3 serves as a central data lake where Nuvemshop e-commerce data can reside alongside information from other sources. You can blend your store data with marketing platforms, ERP systems, or financial tools to create unified reports in Google Sheets or business intelligence platforms.

Do I need technical skills to replicate Nuvemshop data to Amazon S3?

No coding is required to establish the connection between Nuvemshop and Amazon S3, as Kondado provides a no-code interface for selecting pipelines and configuring schedules. You simply authenticate your store, specify your S3 bucket details, and choose which data endpoints to replicate.

Can I analyze abandoned cart behavior from Nuvemshop in Amazon S3?

Yes, the Abandoned Carts pipeline captures detailed information about incomplete purchases, including applied coupons and product availability, which you can analyze alongside completed Sales data. This allows you to calculate recovery rates and identify specific products that frequently appear in abandoned carts versus successful transactions.

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Send Nuvemshop (Tiendanube) Data to Amazon S3

How to send Nuvemshop (Tiendanube) data to Amazon S3? Kondado provides a direct data source that automatically replicates your e-commerce information to Amazon S3 on a configurable schedule. You choose the update frequency, from every 5 minutes to daily, ensuring your data lake stays current without manual exports. Once your data lands in Amazon S3, you can leverage Athena, Presto, or Dremio to run complex queries on sales performance, customer segmentation, and inventory optimization.

Kondado replicates data from Nuvemshop (Tiendanube) to Amazon S3 automatically on a configurable schedule, offering 25 pipelines including Sales, Products, Customers, and Abandoned Carts with 981 fields total, enabling near-real-time data lake updates for advanced analytics.

This pipeline delivers your store’s transactional and behavioral data directly into your AWS environment, where it can be combined with other sources for comprehensive reporting. Whether you are building custom dashboards in Power BI or feeding machine learning models, having structured Nuvemshop data in Amazon S3 eliminates data silos and accelerates decision-making.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Abandoned Carts pipeline captures unfinished checkouts with billing details and product availability status, allowing you to identify friction points in your purchase funnel when analyzed in Amazon S3. Combined with the Sales pipeline, which includes complete transaction records with promotion discounts and shipping events, you can build comprehensive customer journey analytics that track conversions from cart to delivery. The Products pipeline delivers detailed inventory data with variations and custom fields, enabling you to optimize stock levels across distribution centers using your preferred analytics tools or combine with BigQuery for enhanced reporting.

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Nuvemshop (Tiendanube) data available for Amazon S3

available pipelines

981

extractable fields

Available integrations

Integration	Description
Custom Fields	Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.
Abandoned Carts	Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.
Promotion Discount Settings	Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.
Abandoned Cart Coupons	Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.
Abandoned Cart Products	Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.
Applied Promotions for Abandoned Carts	Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.
Categories	Contains information about product categories, facilitating the organization and search for items in the store.
Distribution Centers	Presents data on distribution locations, allowing efficient management of inventory and logistics.
Distribution Center Inventory	Includes information on available stock, facilitating control and replenishment of products.
Customers	Contains data such as id, contact_email, and created_at, essential for customer relationship management.
Customers: Custom Fields	Includes fields such as id, created_at, and value, enabling customization of customer information based on specific needs.
Coupons	Contains information about coupons, including id, code, and discount value, facilitating the management of promotions and offers.
Shipping Methods	Presents data on shipping methods, such as id, name, and cost, allowing analysis of available delivery options.
Products	Includes details about products, such as id, name, and price, essential for inventory and sales management.
Products: Custom Fields	Provides fields such as id, created_at, and value, allowing customization of product information as needed.
Products: Variations	Includes information about product variations, such as id, type, and price, facilitating management of different product options.
Products: Variations: Custom Fields	Presents fields such as id, created_at, and value, allowing customization of specific information for product variations.
Sales	Contains data on sales, including id, total value, and date, essential for performance analysis and financial reporting.
Sales: Custom Fields	Includes fields such as id, created_at, and value, allowing customization of sales information as needed.
Sales: Promotion Discount Settings	Presents information on discount settings, such as id, discount type, and value, facilitating promotion management.
Sales: Coupons	View information about coupons used in sales, including fields such as id, discount, and created_at.
Sales: Shipments	Track details of sales shipments, with fields such as tracking_number, shipping_address, and created_at.
Sales: Shipping Events	Examine events related to shipping, including fields such as event_type, event_timestamp, and tracking_number.
Sales: Products	Explore information about sold products, with fields such as product_id, quantity, and price.
Sales: Applied Promotions	Analyze promotions applied in sales, including fields such as promotion_id, discount_value, and created_at.

Custom Fields

Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.

Abandoned Carts

Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.

Promotion Discount Settings

Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.

Abandoned Cart Coupons

Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.

Abandoned Cart Products

Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.

Applied Promotions for Abandoned Carts

Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.

How to send Nuvemshop (Tiendanube) data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Nuvemshop to Kondado

Authenticate your Nuvemshop (Tiendanube) store by providing your API credentials in the Kondado platform to establish the data source connection.

Configure Amazon S3 Destination

Enter your AWS bucket name and authentication details to set up Amazon S3 as your destination, ensuring proper permissions for data replication.

Select Pipelines and Schedule

Choose from the 25 available pipelines such as Sales, Products, and Customers, then set your preferred update frequency from 5 minutes to daily for automated replication.

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