From VTEX to SQL Server: managed, scheduled, no code.
Kondado automates the replication of VTEX data to SQL Server, supporting 17 data pipelines including Orders, SKUs, and Promotions with updates available every 5 minutes, 15 minutes, hourly, or daily based on your business needs.
How to send VTEX data to SQL Server? Kondado provides a direct integration that replicates your VTEX ecommerce data to SQL Server on a configurable schedule. Simply authenticate your VTEX account, configure your SQL Server destination, and select which pipelines you want to replicate from the available 17 endpoints. The platform handles the data extraction and loading automatically, ensuring your database stays current without manual exports, complex coding, or ongoing maintenance requirements.
Once your data arrives in SQL Server, you can build custom analytics, generate business intelligence reports, and combine VTEX information with other organizational data sources. This enables comprehensive performance analysis across sales, inventory, and marketing campaigns while maintaining full control over your data infrastructure and query capabilities.
With Kondado, you can replicate critical VTEX pipelines such as Orders, Stock, and Marketing Data of Orders directly into your SQL Server environment. The Orders pipeline delivers comprehensive transaction details including orderid, status, and totalvalue, enabling detailed sales performance analysis and customer behavior studies. Stock data provides inventory positions across warehouses with fields like skuid and totalquantity, allowing you to optimize replenishment strategies and prevent stockouts. By consolidating this information in SQL Server, analysts can create unified dashboards that correlate sales velocity with inventory levels, calculate true marketing ROI by connecting order values with campaign attribution data, and build predictive models for demand forecasting using historical transaction patterns.
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Replicated to SQL Server
VTEX data available for SQL Server
Tables Kondado writes into your SQL Server, on a schedule you control.
17
available pipelines
432
extractable fields
SQL Server
Destination
Available integrations
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.
Sync data automatically — no code, no manual exports.
1
Connect your VTEX account
Authenticate your VTEX data source by providing your API credentials in the Kondado interface, allowing the platform to access your ecommerce data including orders, inventory, and customer information.
2
Configure SQL Server destination
Enter your SQL Server connection parameters including server address, database name, and authentication details to establish the target location where your VTEX pipelines will replicate.
3
Select pipelines and schedule
Choose from the 17 available VTEX pipelines such as Orders, Stock, and Promotions, then set your preferred update frequency to automate data replication on a configurable schedule.
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Answers about sending VTEX data to SQL Server automatically
How does Kondado replicate VTEX data to SQL Server?▼
Kondado connects directly to the VTEX APIs and extracts data from your selected pipelines, then loads it into your SQL Server database tables. The process runs automatically on your chosen schedule, whether you need updates every 5 minutes for near-real-time analysis or daily batches for reporting. You maintain full control over which data endpoints are replicated and how frequently they refresh.
What VTEX data can I replicate to SQL Server?▼
You can replicate 17 different pipelines covering Orders, SKUs, Stock, Promotions, Coupons, Master Data, and detailed order components like Shipping Data, Marketing Data, and Payment Transactions. Each pipeline contains specific fields such as orderid, skuid, and totalvalue, allowing you to build comprehensive datasets that mirror your complete VTEX operation in SQL Server.
How often does VTEX data update in SQL Server?▼
Kondado offers flexible scheduling options that let you configure updates every 5 minutes, 15 minutes, hourly, or daily depending on your analytical requirements. This configurable schedule ensures your SQL Server database reflects the most recent VTEX activity without overwhelming your system with unnecessary API calls or processing overhead.
Does Kondado offer pre-built dashboards for VTEX data?▼
Yes, Kondado provides ready-made report templates including the VTEX Power BI Report and VTEX Looker Studio Report that you can deploy immediately after replicating your data. These templates visualize key ecommerce metrics from your SQL Server data, though you can also connect your replicated data to Power BI, Looker Studio, or Google Sheets for custom analysis.
What data format does VTEX use when stored in SQL Server?▼
VTEX data arrives in SQL Server as structured relational tables that preserve the original field names and data types from your VTEX account. This includes standard SQL data types for text, numbers, dates, and Boolean values, making the data immediately queryable using standard T-SQL without transformation or complex parsing.
Can I combine VTEX data with other sources in SQL Server?▼
Absolutely, once your VTEX data resides in SQL Server, you can join it with information from existing database tables or additional Kondado pipelines. Many users also send their VTEX data to multiple destinations simultaneously, such as PostgreSQL or BigQuery alongside SQL Server, enabling specialized analysis across different platforms while maintaining a central warehouse.
Do I need coding skills to set up VTEX to SQL Server replication?▼
No coding is required to configure the connection between VTEX and SQL Server. Kondado provides a no-code interface where you authenticate your VTEX account, enter your SQL Server connection details, and select pipelines through a visual menu. The platform handles all API interactions, data mapping, and schema creation automatically.
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