From Nuvemshop (Tiendanube) to MySQL: managed, scheduled, no code.
Creating a pipeline that sends data from Nuvemshop (Tiendanube) to MySQL databases takes only a few minutes with Kondado. And the whole integration from Nuvemshop (Tiendanube) to MySQL 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 MySQL database
Send Nuvemshop (Tiendanube) Data to MySQL Automatically
Sending data from your online store to a database requires a reliable method to extract and load information without manual exports. Kondado provides a direct integration between Nuvemshop (Tiendanube) and MySQL, allowing you to replicate store data automatically on a configurable schedule. Simply connect your Nuvemshop account, configure your MySQL destination, and select the specific pipelines you need to replicate. Once configured, your ecommerce data flows continuously into your database, enabling you to build custom analytics and combine store information with other business systems for comprehensive reporting.
Kondado replicates Nuvemshop (Tiendanube) data to MySQL on a configurable schedule ranging from every 5 minutes to daily, offering 25 pipelines including Sales, Products, Customers, and Abandoned Carts with 981 total fields available for analysis.
With the Sales pipeline, you can analyze transaction patterns and revenue trends directly in MySQL, joining ecommerce metrics with financial data from other systems for unified reporting. The Abandoned Carts pipeline captures incomplete checkouts alongside applied promotions and discount settings, enabling you to identify friction points in your purchase funnel and calculate potential recovery revenue. Customer data replication allows you to segment your audience based on purchase history and contact information stored in your database, creating targeted lists that sync with your CRM or email platforms for personalized campaigns.
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Replicated to MySQL
Nuvemshop (Tiendanube) data available for MySQL
Tables Kondado writes into your MySQL, on a schedule you control.
25
available pipelines
981
extractable fields
MySQL
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.
Answers about sending Nuvemshop (Tiendanube) data to MySQL automatically
How does Kondado replicate Nuvemshop data to MySQL?▼
Kondado connects to the Nuvemshop (Tiendanube) API to extract your store data and load it into your MySQL database tables. The platform handles the data transformation and schema creation automatically, ensuring your ecommerce information arrives in a structured format ready for querying.
What Nuvemshop data can I replicate to MySQL?▼
You can replicate 25 different pipelines including Sales, Products, Customers, Abandoned Carts, Coupons, and Shipping Methods, covering 981 total fields across your store operations. This includes detailed information about orders, inventory, customer profiles, and promotional campaigns.
How often does Nuvemshop data update in MySQL?▼
Kondado updates your MySQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You can set different frequencies for different pipelines based on your reporting needs and data freshness requirements.
Can I combine Nuvemshop data with other sources in MySQL?▼
Yes, once your store data resides in MySQL, you can join it with information from additional sources like PostgreSQL, BigQuery, or Excel to create comprehensive business reports. This enables unified analytics across your ecommerce operations, marketing campaigns, and inventory systems.
What format does Nuvemshop data take in MySQL?▼
Each pipeline creates structured tables in your MySQL database with properly typed columns for dates, decimals, text, and boolean values. The schema preserves relationships between entities, allowing you to write SQL joins between Sales and Customers or Products and Categories.
Do I need coding skills to set up Nuvemshop to MySQL replication?▼
No coding is required to configure the connection, as Kondado provides a no-code interface for selecting pipelines and setting your replication schedule. You only need your Nuvemshop API credentials and MySQL connection details to begin replicating data immediately.
Can I send Nuvemshop data to other destinations besides MySQL?▼
Yes, you can replicate the same Nuvemshop (Tiendanube) data to multiple destinations including Power BI, Looker Studio, Google Sheets, and Redshift simultaneously. This allows different teams to access store data in their preferred analytics tools without additional configuration.
How do I create reports from Nuvemshop data in MySQL?▼
Once data arrives in MySQL, you can query it directly using SQL or connect your database to visualization tools like Power BI and Looker Studio. Build custom dashboards tracking sales performance, customer acquisition costs, and inventory turnover using your normalized store data.
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