How does Kondado replicate Nuvemshop data to SQL Server?

Kondado connects to your Nuvemshop store via API and extracts data from your selected pipelines. The platform then loads this information into your SQL Server instance according to your configured schedule, creating structured datasets that reflect your store's current state without requiring manual CSV exports or custom scripts.

What specific Nuvemshop data can I replicate to SQL Server?

You can access 25 distinct pipelines covering Sales transactions, Customer profiles, Product catalogs, Abandoned Carts, Coupons, and Shipping Methods. Each pipeline contains specific fields, such as tracking numbers in Sales Shipments or discount values in Applied Promotions, giving you granular control over which e-commerce metrics populate your database.

How frequently can I update Nuvemshop data in SQL Server?

Kondado offers configurable update schedules ranging from every 5 minutes to daily intervals, allowing you to balance data freshness with system resources. You set the frequency during pipeline configuration, and the platform automatically extracts and loads new or modified records according to your chosen timeline.

Can I combine Nuvemshop data with other business sources in SQL Server?

Yes, SQL Server serves as a central repository where you can merge your e-commerce data with information from other sources. You can send additional data to BigQuery or PostgreSQL separately, or combine your SQL Server data with Google Sheets exports for comprehensive cross-functional analysis.

What format does Nuvemshop data take once in SQL Server?

Data arrives as structured relational tables with preserved data types, where each pipeline becomes a distinct table containing its specific fields as columns. The schema maintains relationships between entities, such as linking sales records to customer profiles or product variations, enabling complex SQL queries and joins across your e-commerce datasets.

Do I need technical coding skills to set up the Nuvemshop to SQL Server pipeline?

No coding is required to establish the connection or configure your data replication. Kondado provides a visual interface where you authenticate your Nuvemshop store, enter your SQL Server connection details, and select pipelines through point-and-click configuration.

Can I analyze abandoned cart behavior in SQL Server using this data?

Yes, the Abandoned Carts pipeline includes fields such as billing addresses, completed timestamps, and stock availability status, allowing you to build SQL queries that identify patterns in incomplete checkouts. You can correlate this information with the Abandoned Cart Products and Applied Promotions pipelines to determine which items and discounts most effectively convert abandoned carts into completed sales.

Send data from Nuvemshop (Tiendanube) to SQL Server

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Send Nuvemshop (Tiendanube) Data to SQL Server

Connecting your e-commerce data to your database infrastructure requires a reliable pipeline that handles the technical complexity for you. Kondado enables you to replicate data from Nuvemshop (Tiendanube) directly into SQL Server without writing code or managing API connections manually. You select the specific data pipelines you need from your online store, configure your preferred update frequency, and your SQL Server database stays current with your store’s transactions, inventory levels, and customer interactions.

Once your data flows into SQL Server, you can build custom reports, combine e-commerce metrics with other business data, and power analytics workflows across your organization. The automated replication ensures your analysts always work with fresh information rather than stale exports.

Kondado provides a direct connection between Nuvemshop (Tiendanube) and SQL Server, automatically replicating 25 data pipelines including Sales, Products, Customers, and Abandoned Carts on a configurable schedule ranging from every 5 minutes to daily, delivering 981 fields of e-commerce data directly into your Microsoft database environment.

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

Available Nuvemshop (Tiendanube) Data Pipelines for SQL Server

Access granular e-commerce data through specialized pipelines designed for comprehensive store analysis. The Sales pipeline delivers transaction details including applied promotions and shipment tracking, enabling you to calculate true profit margins and shipping performance directly in your database queries. Abandoned Carts data reveals checkout drop-off points and product availability issues, allowing you to identify revenue recovery opportunities. Combined with the Customers pipeline, which captures contact information and custom field data, you can segment audiences and personalize marketing campaigns using SQL Server’s analytical capabilities.

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Nuvemshop (Tiendanube) data available for SQL Server

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 SQL Server

Sync data automatically — no code, no manual exports.

Connect Your Nuvemshop Store

Authenticate your Nuvemshop (Tiendanube) store in Kondado by providing your API credentials, enabling the platform to extract data from your e-commerce operations.

Configure SQL Server Destination

Enter your SQL Server connection parameters including server address, database name, and authentication credentials to establish the target location for your replicated data.

Select Pipelines and Schedule

Choose from 25 available pipelines such as Sales, Customers, and Abandoned Carts, then configure your update frequency to run every 5 minutes, hourly, or daily based on your business needs.

Try out all the features for free for 14 days