From Bling! to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from Bling! to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Bling! to PostgreSQL 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 PostgreSQL database
Kondado replicates your Bling! data to PostgreSQL automatically on a configurable schedule, eliminating the need for manual exports or complex API development. Marketing managers, sales leaders, and data analysts can access unified ecommerce, financial, and inventory information in the world’s most advanced open-source database without writing code. Set your preferred update frequency to every 5 minutes, 15 minutes, hourly, or daily based on your business requirements.
Kondado is a data integration platform that automatically replicates Bling! information to PostgreSQL on user-configured schedules, offering 30 pipelines with 1,528 fields for comprehensive analysis and custom reporting. Simply connect your credentials, select desired pipelines, and set update frequency to start analyzing your data immediately.
The Sales Orders and Accounts Receivable pipelines enable sales leaders to track revenue funnels and payment projections directly in PostgreSQL, building custom dashboards that consolidate marketplace performance data across multiple sales channels. With Products: Stock and Outgoing NFe pipelines, your operations team can monitor SKU availability and tax document movements with automatically updated information, optimizing inventory replenishment and fiscal compliance without manual spreadsheet maintenance or daily exports.
Try out all the features for free for 14 days
Replicated to PostgreSQL
Bling! data available for PostgreSQL
Tables Kondado writes into your PostgreSQL, on a schedule you control.
30
available pipelines
1528
extractable fields
PostgreSQL
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 Bling! to Kondado
Access the data sources page and authorize the connection with your Bling! account by entering the API credentials provided by the ERP.
2
Configure PostgreSQL
Add your host, port, database, username, and password information for your PostgreSQL in the destinations section, testing the connection before proceeding.
3
Select pipelines and schedule
Choose from the 30 available pipelines such as Orders, Stock, and Financial data, setting your preferred replication frequency for each dataset.
Try out all the features for free for 14 days
Hundreds of data-driven companies trust Kondado
Why Kondado?
Focus on extracting value from your data and leave the rest to us
Answers about sending Bling! data to PostgreSQL automatically
How does the Bling! to PostgreSQL pipeline work on Kondado?▼
The connection is established through Bling! API credentials, allowing Kondado to extract orders, product, and financial data and insert it automatically into your configured PostgreSQL database.
What Bling! data can I replicate to PostgreSQL?▼
You can choose from 30 different pipelines including Sales Orders, Accounts Payable and Receivable, Product Stock, Invoices, and Bank Transactions, totaling 1,528 available fields for detailed analysis.
How frequently is Bling! data updated in PostgreSQL?▼
The frequency is user-configurable and can be set to every 5 minutes, 15 minutes, hourly, or daily, ensuring your reports stay updated according to your business needs.
Can I combine Bling! data with other sources in PostgreSQL?▼
Yes, you can join data from Bling! with information from other sources like Facebook Ads, Google Ads, or Shopify in the same PostgreSQL database, creating consolidated performance and operational analyses.
How is Bling! data organized in PostgreSQL?▼
Data is structured in relational format with automatically typed fields, maintaining referential integrity and facilitating complex SQL queries for data analysis.
Are there ready-made dashboards to analyze Bling! data?▼
Yes, we offer pre-built report templates for Looker Studio and Power BI, allowing you to visualize Bling! sales, inventory, and financial data without building dashboards from scratch.
Do I need programming skills to use Kondado?▼
No advanced technical knowledge is required. Setup is done through Kondado's visual interface where you select desired pipelines and define replication frequency in just a few clicks.
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