From Nuvemshop (Tiendanube) to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from Nuvemshop (Tiendanube) to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Nuvemshop (Tiendanube) to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Nuvemshop (Tiendanube) data and combining it with other data in your PostgreSQL database
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.
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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Replicated to PostgreSQL
Nuvemshop (Tiendanube) data available for PostgreSQL
Tables Kondado writes into your PostgreSQL, on a schedule you control.
25
available pipelines
981
extractable fields
PostgreSQL
Destination
Available integrations
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.
How to send Nuvemshop (Tiendanube) data to PostgreSQL
Sync data automatically — no code, no manual exports.
1
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.
2
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.
3
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
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Why Kondado?
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Answers about sending Nuvemshop (Tiendanube) data to PostgreSQL automatically
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.
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