From Bling! to SQL Server: managed, scheduled, no code.
Creating a pipeline that sends data from Bling! to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Bling! to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Bling! data and combining it with other data in your SQL Server database
Kondado enables businesses to replicate their Bling! ERP data directly into SQL Server without writing complex code or managing API connections. Simply authenticate your Bling! account through the platform interface, configure your SQL Server destination with your connection details, and select the specific pipelines your analytics require. The platform handles all data extraction, transformation, and loading automatically according to your configured timetable.
Once connected, your Bling! financial records, inventory levels, and sales transactions flow into structured SQL Server tables where you can execute complex T-SQL queries, build custom analytics applications, or feed data to Power BI and other visualization tools. This direct integration eliminates manual CSV exports and ensures your database stays current with automated updates, letting your team focus on deriving actionable insights rather than tedious data preparation and file management.
Kondado replicates Bling! data to SQL Server on a configurable schedule, supporting 30 data pipelines including Accounts Payable, Sales Orders, and Products with 1528 total fields available for analysis.
With the Accounts Payable and Accounts Receivable pipelines, finance teams can track cash flow obligations and incoming payments directly within SQL Server, enabling automated aging reports and liquidity forecasts without accessing the Bling! interface. The Sales Orders and Products pipelines deliver transactional and inventory data that powers demand forecasting models and stock optimization algorithms in your database environment.
Operations managers leverage the Production Orders pipeline to monitor manufacturing workflows alongside purchasing data, creating unified operational dashboards that combine Bling! ERP information with other business systems already residing in SQL Server. These consolidated datasets enable cross-functional analysis and automated reporting workflows that drive faster decision-making across your organization.
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Replicated to SQL Server
Bling! data available for SQL Server
Tables Kondado writes into your SQL Server, on a schedule you control.
30
available pipelines
1528
extractable fields
SQL Server
Destination
API Version: V3
Available integrations
Cash and Banks: Transactions
Transaction records include fields such as id, date, amount, and description, enabling detailed financial control.
Categories: Stores
Information about categorized stores includes id, name, and description, facilitating organization and analysis.
Categories: Products
Data about categorized products includes id, name, and description, allowing efficient portfolio management.
Categories: Revenues and Expenses
Information about revenues and expenses includes id, name, and type, aiding in financial analysis.
Accounts Payable
Accounts payable data includes id, contact_id, amount, and due date, allowing control of financial obligations.
Accounts Receivable
Accounts receivable information includes id, contact_id, amount, and due date, facilitating the management of receivables.
Accounting Accounts
Accounting account data includes id, name, and type, essential for financial organization.
Contacts
Contact information includes id, name, email, and phone, facilitating communication and relationship management.
Deposits
Deposit records include id, date, amount, and account, allowing control of financial inflows.
Payment Methods
Data about payment methods includes id, name, and description, essential for managing financial transactions.
Product Groups
Table contains information about product groups, including fields such as id, name, and description, enabling efficient categorization of items.
Custom Field Information
Table provides details about custom fields, including id, name, and type, allowing data customization according to user needs.
Logistics
Table encompasses logistics information, with fields such as id, description, and status, facilitating the management of logistics processes.
Reverse Logistics
Table contains data on reverse logistics, including id, reason, and status, allowing tracking of returns and exchanges.
NFCe
Table gathers information on Electronic Consumer Invoices, with fields such as id, date, and total value, essential for fiscal management.
NFSe
Table covers data on Electronic Service Invoices, including id, date, and value, fundamental for service accounting.
Incoming NFe
Table contains information on Incoming Invoices, with fields such as id, date, and supplier, essential for inventory control.
Outgoing NFe
Table gathers data on Outgoing Invoices, including id, date, and customer, fundamental for sales management.
Nature of Operations
Table presents information on nature of operations, with fields such as id, description, and type, essential for fiscal categorization.
Production Orders
Table contains data on production orders, including id, product, and quantity, fundamental for manufacturing control.
Purchase Orders
Contains information about purchase orders, including id, associated contact, and order status.
Sales Orders
Includes details about sales orders, such as id, sale date, total, and order status.
Products
List of available products, including id, name, and associated categories.
Products: Stock
Information about product stock, including id, available quantity, and storage location.
Products: Structures
Details about product structures, including id and associated components.
Products: Suppliers
List of suppliers for products, including product id and supplier id.
Products: Stores
Information about stores selling products, including product id and store id.
Products: Variations
Details about product variations, including id and attributes of the variations.
Module Statuses
Contains information about module statuses, including id and status description.
Sellers
List of sellers, including id, name, and contact details.
Sync data automatically — no code, no manual exports.
1
Connect Your Bling! Account
Authenticate your Bling! data source in Kondado by providing your API credentials through the secure connection interface.
2
Configure SQL Server Destination
Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location for your replicated data.
3
Select Pipelines and Schedule
Choose from 30 available Bling! pipelines such as Sales Orders or Accounts Payable, then set your preferred update frequency from 5 minutes to daily intervals.
Try out all the features for free for 14 days
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Answers about sending Bling! data to SQL Server automatically
How does Bling! to SQL Server replication work?▼
Kondado connects to your Bling! account via API and extracts selected data pipelines automatically. The platform then loads this information into your SQL Server database tables according to your configured schedule, handling data type mapping and structure creation without requiring manual intervention or coding.
What Bling! data can I replicate to SQL Server?▼
You can replicate 30 different pipelines including financial data like Accounts Payable and Accounts Receivable, operational data such as Sales Orders and Production Orders, and product information including stock levels and supplier details. This covers 1528 distinct fields across your entire Bling! ERP ecosystem.
How often does Bling! data update in SQL Server?▼
Updates occur on a configurable schedule that you set based on your business needs, with options ranging from every 5 minutes to daily intervals. This near-real-time synchronization ensures your SQL Server database reflects current Bling! transactions without manual refresh processes.
What format does Bling! data take in SQL Server?▼
Each Bling! pipeline becomes a separate table in SQL Server with properly mapped data types and relationships preserved. The structured format allows immediate use with T-SQL queries, stored procedures, and integration with existing database schemas or data warehouses.
Can I combine Bling! data with other sources in SQL Server?▼
Yes, once Bling! data resides in SQL Server, you can join it with information from other sources like PostgreSQL, BigQuery, or Google Sheets that you also replicate using Kondado. This enables comprehensive cross-platform analytics within your centralized database environment.
Are there pre-built dashboards for Bling! data?▼
Yes, Kondado offers ready-made report templates including the Bling! Looker Studio Report and Bling! Power BI Report that connect directly to your replicated data. These templates provide immediate visualization of your Bling! metrics while your SQL Server database maintains the underlying data infrastructure.
Which SQL Server versions support Bling! data replication?▼
Kondado supports multiple SQL Server versions and license types, including Express, Standard, and Enterprise editions. The platform works with both cloud-hosted and on-premises SQL Server instances, accommodating various authentication methods and network configurations.
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