Send data from VTEX to Redshift

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Replicate VTEX Data to Redshift Automatically

Connecting your VTEX store to Amazon Redshift requires no coding when you use Kondado’s data replication platform. Simply authenticate your VTEX account as a data source, configure your Redshift destination with your cluster credentials, and select which pipelines to replicate from the 17 available options covering orders, inventory, products, and marketing campaign data. Kondado handles the data extraction and loading automatically on your preferred schedule, whether every 5 minutes for near-real-time analytics or daily for batch reporting, ensuring your warehouse always contains current information for business intelligence.

Kondado replicates VTEX e-commerce data including orders, inventory, products, and promotions to Amazon Redshift on a configurable schedule, enabling automated data warehousing for analytics and business intelligence.

Agencies and e-commerce managers use this connection to unify VTEX sales data with other business systems stored in Redshift, creating comprehensive reports that drive inventory decisions and marketing optimization. The automated pipeline eliminates manual CSV exports and complex API scripting, allowing technical teams to focus on SQL analysis and insight generation rather than data preparation and maintenance tasks.

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

Once your Orders and Stock pipelines are flowing into Redshift, you can build comprehensive inventory dashboards that correlate sales velocity with warehouse availability across all SKUs. Marketing teams can analyze the Marketing Data of Orders pipeline alongside external advertising spend to calculate true customer acquisition costs and campaign attribution, while finance teams reconcile payment transactions from the Payments: Order Transactions pipeline against banking records for automated financial reporting and revenue recognition.

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VTEX data available for Redshift

17
available pipelines
432
extractable fields

Available integrations

Integration Description
Coupons Includes fields like coupon_id, expirationintervalperuse, and isarchived, allowing management of promotions and their reuse intervals.
Stock Presents data such as skuid, warehouseid, and totalquantity, providing information on the stock position of SKUs by warehouse.
Master Data Contains fields like id, updatedin, and createdin, allowing management of entities and their dynamic properties.
Orders Includes information such as orderid, status, and totalvalue, allowing detailed tracking of orders and their status.
Shipping Data of Orders Provides shipping details including shippingestimateddate and shippingestimateddatemax, essential for logistical management.
Marketing Data of Orders Includes information such as affiliateid and utmcampaign, allowing analysis of marketing campaigns associated with orders.
Order Details Presents fields like lastmessageunread and callcenteroperatorname, offering insights into customer communication and service.
Logistics Information of Orders Includes data such as invoiceinput and invoiceoutput, essential for managing fiscal and logistical documents.
Order Items Contains information about each order item, such as totalitems and paymentnames, allowing detailed analysis of purchased products.
Payments: Order Transactions Includes details about payment transactions, such as paymentnames and totalvalue, essential for financial control of orders.
Orders: Fees and Benefits Includes information about fees and benefits associated with orders, such as totalvalue, shippingestimateddate, and paymentnames.
Orders: Totals Presents the totals of orders, including orderid, totalvalue, and totalitems, along with details about the creation date.
Products Contains data about available products, including skuid, warehousename, and totalquantity, along with pricing information.
Promotions Provides details about promotions, including coupon_id, expirationintervalperuse, and maxitemsperclient, along with campaign information.
SKUs Presents information about SKUs, such as skuid, totalquantity, and reservedquantity, along with data on stock availability.
SKUs: Kits Includes data about SKU kits, allowing the visualization of product combinations along with their respective quantities and prices.
SKUs: Prices Provides information about SKU prices, including skuid and pricing details, allowing for cost and promotion analysis.
Coupons
Includes fields like coupon_id, expirationintervalperuse, and isarchived, allowing management of promotions and their reuse intervals.
Stock
Presents data such as skuid, warehouseid, and totalquantity, providing information on the stock position of SKUs by warehouse.
Master Data
Contains fields like id, updatedin, and createdin, allowing management of entities and their dynamic properties.
Orders
Includes information such as orderid, status, and totalvalue, allowing detailed tracking of orders and their status.
Shipping Data of Orders
Provides shipping details including shippingestimateddate and shippingestimateddatemax, essential for logistical management.
Marketing Data of Orders
Includes information such as affiliateid and utmcampaign, allowing analysis of marketing campaigns associated with orders.
Order Details
Presents fields like lastmessageunread and callcenteroperatorname, offering insights into customer communication and service.
Logistics Information of Orders
Includes data such as invoiceinput and invoiceoutput, essential for managing fiscal and logistical documents.
Order Items
Contains information about each order item, such as totalitems and paymentnames, allowing detailed analysis of purchased products.
Payments: Order Transactions
Includes details about payment transactions, such as paymentnames and totalvalue, essential for financial control of orders.
Orders: Fees and Benefits
Includes information about fees and benefits associated with orders, such as totalvalue, shippingestimateddate, and paymentnames.
Orders: Totals
Presents the totals of orders, including orderid, totalvalue, and totalitems, along with details about the creation date.
Products
Contains data about available products, including skuid, warehousename, and totalquantity, along with pricing information.
Promotions
Provides details about promotions, including coupon_id, expirationintervalperuse, and maxitemsperclient, along with campaign information.
SKUs
Presents information about SKUs, such as skuid, totalquantity, and reservedquantity, along with data on stock availability.
SKUs: Kits
Includes data about SKU kits, allowing the visualization of product combinations along with their respective quantities and prices.
SKUs: Prices
Provides information about SKU prices, including skuid and pricing details, allowing for cost and promotion analysis.

Try out all the features for free for 14 days

How to send VTEX data to Redshift

Sync data automatically — no code, no manual exports.

1
Connect VTEX Account

Authenticate your VTEX store by providing your API credentials in Kondado's data source configuration panel.

2
Configure Redshift Destination

Enter your Amazon Redshift cluster connection details including host, database name, and credentials to establish the destination warehouse.

3
Select Pipelines and Schedule

Choose which of the 17 available VTEX pipelines to replicate and set your preferred update frequency from 5 minutes to daily intervals.

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Frequently Asked Questions (FAQ)

Answers about sending VTEX data to Redshift automatically

How does Kondado replicate VTEX data to Redshift?
Kondado connects to the VTEX API as a data source and extracts your selected pipelines on a configurable schedule. The platform automatically loads this data into your Redshift cluster, maintaining schema consistency and handling updates without manual intervention.
What VTEX data can I replicate to Redshift?
You can choose from 17 available pipelines including Orders, Stock, Products, SKUs, Promotions, Master Data, and Payments. Each pipeline contains specific fields such as order details, inventory levels, pricing information, and marketing campaign data associated with transactions.
How often does VTEX data update in Redshift?
You configure the replication frequency based on your business needs, with options ranging from every 5 minutes to daily updates. This automated schedule ensures your Redshift warehouse stays current without requiring manual data exports or API scripting.
In what format does VTEX data appear in Redshift?
Each pipeline loads into Redshift as structured data with preserved data types and relationships, ready for SQL querying and joins across datasets. The structured format supports complex analytics, allowing you to combine VTEX sales data with other business information stored in your warehouse.
Can I combine VTEX data with other sources in Redshift?
Yes, once VTEX data resides in Redshift, you can join it with information from additional Kondado data sources such as advertising platforms or ERP systems. This unified approach enables comprehensive business intelligence across your entire operation, with all data centralized alongside your VTEX information.
Are there pre-built dashboards available for VTEX data?
Kondado offers ready-made report templates including the VTEX Power BI Report and VTEX Looker Studio Report that connect directly to your Redshift data. You can also send data to Power BI, Looker Studio, or Google Sheets for immediate visualization without building reports from scratch.
Do I need technical skills to set up VTEX to Redshift replication?
The setup requires no coding: you authenticate your VTEX account, provide Redshift connection details, and select your desired pipelines through Kondado's interface. The platform manages the technical complexity of API connections and data loading automatically.
Can I analyze shipping and logistics data from VTEX in Redshift?
Yes, the Shipping Data of Orders and Logistics Information of Orders pipelines provide detailed tracking information, estimated delivery dates, and invoice data. This enables supply chain analytics and delivery performance monitoring directly within your Redshift environment.

Try out all the features for free for 14 days