How often does Bling! 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, such as updating Sales Orders every 15 minutes while refreshing Accounting Accounts daily. This flexibility ensures your analytics reflect current business conditions without overwhelming your database resources.

What specific Bling! information can I replicate to MySQL?

You can replicate data from 30 pipelines encompassing financial records like Accounts Receivable and Accounts Payable, operational data including Sales Orders and Purchase Orders, and product information such as Products: Stock and Product Groups. Each pipeline contains structured fields, with over 1,500 total fields available across all datasets, enabling comprehensive ERP analysis within your database.

Can I combine Bling! data with other sources in MySQL?

Yes, MySQL serves as a central repository where Bling! data can coexist alongside information from additional platforms connected through Kondado. You can replicate data from Google Sheets or BigQuery into the same MySQL instance, then join your Bling! Sales Orders with these external datasets using standard SQL queries for comprehensive cross-platform analysis.

Do you provide ready-made dashboards for Bling! data?

Yes, Kondado offers pre-built report templates including the Bling! Looker Studio Report and Bling! Power BI Report that visualize your replicated data immediately. These templates connect directly to your destination, whether you choose MySQL or other databases like BigQuery , enabling instant insights into sales performance and financial metrics without building visualizations from scratch.

How is Bling! data formatted when it arrives in MySQL?

Data arrives in structured relational tables that mirror your Bling! configuration, with each pipeline representing a distinct table containing specific fields such as transaction IDs, dates, and amounts. The schema preserves data types and relationships from your ERP, allowing you to write standard SQL queries against Accounts Payable, Contacts, and other entities immediately upon replication.

Can I send Bling! data to business intelligence tools instead of MySQL?

While MySQL offers flexible storage for custom analysis, you can also send Bling! data directly to Power BI , Looker Studio , or Google Sheets for immediate visualization. This allows different teams to access the same Bling! information through their preferred analytics environment without manual exports.

What schedule options are available for Bling! replication?

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your business requirements and data freshness needs. This granular control applies individually to each pipeline, so you might refresh Products: Stock every 5 minutes for inventory accuracy while updating Categories: Revenues and Expenses on a daily basis for financial reconciliation.

Send data from Bling! to MySQL

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Send Bling! Data to MySQL Automatically

Kondado enables businesses to replicate Bling! ERP data directly into MySQL databases without writing code. Configure your data source once, select from over 30 available pipelines covering financial transactions, inventory management, and sales operations, then let the platform handle automated updates on your preferred schedule. Whether you need near-real-time visibility into cash flow or daily consolidated reporting for strategic planning, your MySQL instance stays current with minimal technical intervention, allowing analysts to focus on insights rather than data extraction. Teams can immediately query consolidated information using standard SQL, enabling custom dashboard creation and operational reporting without depending on Bling!’s native interface limitations.

Kondado connects to Bling! and replicates data from 30 pipelines including Accounts Payable, Sales Orders, and Products into MySQL on a configurable schedule ranging from every 5 minutes to daily, enabling automated financial analysis and inventory management without manual exports.

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

Once your Bling! data lands in MySQL, you can combine Cash and Banks: Transactions with Accounts Payable records to build automated cash flow forecasts that update as new financial entries arrive. Analysts can also join Sales Orders data with Products: Stock information to identify fulfillment bottlenecks and optimize inventory allocation across multiple warehouses. With 30 pipelines available including Contacts and Payment Methods, you create unified customer views and payment analytics directly within your database environment, enabling deeper business intelligence through custom SQL queries and connected reporting tools.

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Bling! data available for MySQL

available pipelines

1528

extractable fields

API Version: V3

Available integrations

Integration	Description
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.

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.

See all available data →

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How to send Bling! data to MySQL

Sync data automatically — no code, no manual exports.

Connect Bling! to Kondado

Authenticate your Bling! account in the Kondado platform by providing your API credentials to establish the data source connection. This creates the foundation for accessing your ERP data including financial and inventory records.

Configure MySQL Destination

Enter your MySQL connection details including host, database name, and credentials to establish the target location for your replicated data. Kondado connects directly to your existing database infrastructure without requiring additional middleware.

Select Pipelines and Schedule

Choose from 30 available pipelines such as Sales Orders and Accounts Payable, then set your preferred update frequency ranging from every 5 minutes to daily. Once configured, data flows automatically to your MySQL instance on the schedule you defined.

Try out all the features for free for 14 days