How does the Nuvemshop (Tiendanube) to PostgreSQL connection work on Kondado?

You authorize access to your Nuvemshop (Tiendanube) store and configure your PostgreSQL database credentials on the platform. Kondado handles the extraction, transformation, and loading automatically, keeping your data updated according to your chosen schedule.

What store data can I replicate from Nuvemshop to PostgreSQL?

There are 25 pipelines available, including Orders, Products, Customers, Abandoned Carts, Coupons, and Shipments. Each pipeline contains specific fields such as discount values, shipping addresses, and tracking event history for comprehensive analysis.

How frequently is data updated in PostgreSQL?

The schedule is fully configurable: you can set updates every 5 minutes, 15 minutes, hourly, or daily, depending on your operational needs and store transaction volume.

Does data arrive structured in PostgreSQL?

Yes, data is delivered in relational format ready for SQL queries. You can connect directly to Power BI , Looker Studio , or other visualization tools to build custom dashboards.

Can I combine Nuvemshop data with other sources in the same PostgreSQL?

Yes, Kondado allows you to replicate data from over 80 different sources to the same database. You can join information from Google Sheets , BigQuery , or other e-commerce platforms in your consolidated analysis.

Do I need technical knowledge to use the data source?

No coding is required. Setup is done through a visual interface, and operations teams can manage pipelines without depending on developers for daily maintenance.

What happens with my store's custom fields?

Kondado also replicates Custom Fields from Products, Customers, and Sales pipelines, ensuring your specific business information is available in PostgreSQL for analysis alongside standard data.

Send data from Nuvemshop (Tiendanube) to PostgreSQL

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Send Nuvemshop (Tiendanube) Data to PostgreSQL

Kondado lets you connect your Nuvemshop (Tiendanube) store to PostgreSQL in minutes without writing code or manually configuring APIs. Our platform automates the replication of your e-commerce operation data directly into your database, enabling data analysts and marketing managers to build custom analytics with fresh information on sales, inventory, and customer behavior. The setup is simple and intuitive, perfect for teams that need to centralize information from different sales channels into a single robust and accessible data environment.

Kondado replicates Nuvemshop (Tiendanube) data to PostgreSQL automatically on a user-configured schedule, offering 25 pipelines with 981 fields available for detailed commercial performance analysis.

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

The Sales and Products pipelines let you track store performance in detail, while Abandoned Carts data helps identify opportunities to recover lost revenue. With this information in PostgreSQL, sales leaders can cross-reference metrics from different sources and build custom reports that drive strategic decision-making based on concrete consumer behavior data, transaction patterns, and inventory movement across all distribution centers.

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Nuvemshop (Tiendanube) data available for PostgreSQL

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 PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Nuvemshop (Tiendanube) on Kondado

Access the data sources page and select Nuvemshop (Tiendanube) to authorize the connection with your online store using your administrator credentials.

Configure PostgreSQL as destination

Add your PostgreSQL database by entering host, port, username, and password. Kondado validates the connection automatically to ensure data can be replicated correctly.

Select pipelines and set schedule

Choose which of the 25 pipelines you want to replicate, such as Orders, Products, or Customers, and configure the update frequency according to your data analysis needs and operational volume.

Try out all the features for free for 14 days