Connect Nuvemshop (Tiendanube) to Amazon Quicksight: Dashboards in Minutes
Get started for free
No credit card required | 14 days | 10 million records | 30 pipelines
or sign up with your email
By signing up, you agree to Kondado’s Terms of service and Privacy policy
Visualize Nuvemshop (Tiendanube) Data in Amazon Quicksight
To visualize Nuvemshop (Tiendanube) data in Amazon Quicksight, start by connecting your store as a data source on Kondado. Select which pipelines you want to replicate, such as Sales, Products, or Customers, then choose Amazon Quicksight as your destination. Your data flows directly via Kondado without intermediate databases or complex technical setup, allowing you to build charts and dashboards immediately. The entire process requires no coding knowledge, making it accessible for business users and marketing teams who need quick access to ecommerce metrics.
Configure your update frequency to match your business rhythm, whether every 5 minutes for high-volume operations or daily for periodic reviews. Kondado keeps your Amazon Quicksight dashboards refreshed on a configurable schedule, so your marketing and operations teams always see current numbers for inventory levels, abandoned cart recovery rates, and revenue trends. This automated approach eliminates manual data exports and ensures your reports reflect the latest store activity without technical intervention.
Kondado provides a direct integration between Nuvemshop (Tiendanube) and Amazon Quicksight, replicating 25 pipelines with 981 fields on a configurable schedule to enable near-real-time business intelligence without coding or database management.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With your Nuvemshop (Tiendanube) data in Amazon Quicksight, you can combine information from the Abandoned Carts and Applied Promotions for Abandoned Carts pipelines to identify which discount strategies actually convert hesitant shoppers into buyers. Analyze the Sales and Sales: Products pipelines side by side to understand which items drive your revenue and how inventory moves through your Distribution Centers, helping you optimize stock levels and shipping logistics.
Marketing teams benefit from visualizing the Customers pipeline alongside Coupons data to segment audiences and measure promotion effectiveness, while operations managers track fulfillment performance using the Sales: Shipments and Sales: Shipping Events pipelines. These combinations turn raw ecommerce data into actionable visual insights that support daily decisions about pricing, inventory replenishment, and customer retention strategies.
Try out all the features for free for 14 days
Nuvemshop (Tiendanube) data available in Amazon Quicksight
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. |
Try out all the features for free for 14 days
'%3E%3Cpath d='M51,41a9.978,9.978,0,0,0-7.857,3.835L22.648,34.588a9.69,9.69,0,0,0,0-5.176l20.5-10.247a10.1,10.1,0,1,0-1.791-3.577L20.857,25.835a10,10,0,1,0,0,12.33L41.352,48.412A9.994,9.994,0,1,0,51,41Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M33,47.645V60.71c.024-.014.05-.018.073-.033l11-7A2,2,0,0,0,45,51.992V40.012Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M31,47.645,19,40.011V51.992a2,2,0,0,0,.927,1.688l11,7c.023.015.049.019.073.033Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M32,21.693l12-7.634L33.076,7.086a2,2,0,0,0-2.152,0L20,14.059Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M12,35.556,0,27.922V39.9A2,2,0,0,0,.927,41.59l11,7c.023.014.049.019.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M52,35.556l12-7.634V39.9a2,2,0,0,1-.927,1.687l-11,7c-.023.014-.049.019-.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M47,38.914a2,2,0,0,0-.924-1.686L38,32.074V27.922l12,7.634V48.621c-.024-.014-.05-.019-.073-.033L47,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M13,33.821l12-7.634L14.076,19.214a2,2,0,0,0-2.152,0L1,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M17,38.914a2,2,0,0,1,.924-1.686L26,32.074V27.922L14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M32,45.91l12-7.634L33.076,31.3a2,2,0,0,0-2.152,0L20,38.276Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M14.076,19.214a2,2,0,0,0-2.152,0L1,26.187l12,7.634,12-7.634Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M49.924,19.214a2,2,0,0,1,2.152,0L63,26.187,51,33.821,39,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M26,27.922,14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726V38.914a2,2,0,0,1,.924-1.686L26,32.074Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M27.076,25.138A2,2,0,0,1,28,26.824V30.8l1.848-1.179A4,4,0,0,1,31,29.123V23.428L19,15.794v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M36.924,25.138A2,2,0,0,0,36,26.824V30.8l-1.848-1.179A4,4,0,0,0,33,29.123V23.428l12-7.634v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M33.076,31.3a2,2,0,0,0-2.152,0L20,38.276,32,45.91l12-7.634Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M50.348,42.573c0-9.411-8.691-12.336-16.348-14.416v-16.1a32.837,32.837,0,0,1,9.363,1.656l2.778,1.11,2.228-5.57L45.584,8.134A38.043,38.043,0,0,0,34,6.046V1H30V6.081c-8.213.594-16.348,4.86-16.348,13.471,0,9.036,8.841,11.732,16.348,13.744V50.074a33.591,33.591,0,0,1-12.006-2.511l-2.683-1.341-2.684,5.367,2.684,1.342c.243.121,5.7,2.792,14.689,3.152V63h4V56.065C44,55.462,50.348,50.3,50.348,42.573Zm-30.7-23.021c0-5.133,5.96-7.016,10.348-7.446V27.071C23.512,25.243,19.652,23.535,19.652,19.552ZM34,50.043V34.393c6.5,1.882,10.348,3.761,10.348,8.18C44.348,48.377,37.873,49.744,34,50.043Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)