From Bling! to Amazon S3: managed, scheduled, no code.
Kondado automatically replicates data from 30 Bling! pipelines including Sales Orders, Products, and Accounts Receivable to Amazon S3 on a configurable schedule, enabling analysis with Athena, Presto, or Dremio without manual exports.
Kondado provides a direct integration between Bling! and Amazon S3 that replicates your ERP data on a configurable schedule. You simply authenticate your Bling! account as a data source, configure your Amazon S3 bucket as the destination, and select which pipelines to activate. The platform handles the extraction and loading automatically, updating your S3 files every 5 minutes, hourly, or daily based on your business needs. No coding is required to maintain this connection, allowing both analysts and technical teams to focus on utilizing the data rather than managing infrastructure.
Once your Bling! data lands in Amazon S3, you can query it directly using SQL engines or load it into analytics tools for comprehensive reporting. This setup supports data virtualization layers and separates storage from compute, making it ideal for agencies managing multiple clients or businesses building data lakes. The automated replication ensures your S3 buckets contain current information for financial analysis, inventory tracking, and sales performance monitoring.
Replicate your Sales Orders and Accounts Receivable pipelines to Amazon S3 to analyze cash flow patterns alongside payment status using SQL queries. With Products and Stock data available in your S3 bucket, you can build inventory forecasting models that combine Bling! information with external datasets using Athena or Presto. This configuration enables agencies and analysts to create unified dashboards that track order fulfillment, financial obligations, and warehouse levels while maintaining historical data archives for trend analysis.
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Replicated to Amazon S3
Bling! data available for Amazon S3
Tables Kondado writes into your Amazon S3, on a schedule you control.
30
available pipelines
1528
extractable fields
Amazon S3
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! as Data Source
Authenticate your Bling! ERP account in Kondado by providing your API credentials. The platform will automatically detect available pipelines including Sales Orders, Products, and financial records.
2
Configure Amazon S3 Destination
Set up your Amazon S3 bucket parameters including region and file path structure. Kondado will organize your replicated data into structured folders based on pipeline names for easy querying with Athena or Presto.
3
Select Pipelines and Schedule Updates
Choose which Bling! pipelines to activate and define your update frequency from 5-minute intervals to daily batches. The system will begin replicating data immediately according to your specified schedule.
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Answers about sending Bling! data to Amazon S3 automatically
How does Kondado replicate Bling! data to Amazon S3 without coding?▼
Kondado connects directly to your Bling! account using API authentication and writes data to your specified S3 bucket in structured formats. You configure which pipelines to activate through the interface, and the system handles extraction and file organization automatically.
What Bling! data can I replicate to Amazon S3 for financial analysis?▼
You can replicate financial pipelines including Accounts Receivable, Accounts Payable, Cash and Banks, and Accounting Accounts. This data arrives in Amazon S3 ready for analysis with SQL engines like Athena or Presto, enabling cash flow monitoring and financial reporting without manual spreadsheet exports.
How often does Bling! data update in my Amazon S3 bucket?▼
Kondado updates your Amazon S3 data on a configurable schedule that you set, with options ranging from every 5 minutes to daily intervals. This ensures your S3 files reflect recent transactions and inventory changes based on your specific business requirements for data freshness.
What file format does Bling! data use when stored in Amazon S3?▼
Data replicates to Amazon S3 in structured formats optimized for analytics engines, typically Parquet or CSV depending on your configuration. These formats work seamlessly with Athena, Presto, and Dremio for immediate querying without additional transformation steps.
Can I combine Bling! data in Amazon S3 with other sources like my ecommerce platform?▼
Yes, you can replicate data from additional sources such as Bling! alongside other platforms into the same Amazon S3 environment. This allows you to join ERP records with external datasets using SQL queries to create comprehensive business intelligence models.
Does Kondado offer pre-built dashboards for Bling! data?▼
Yes, Kondado provides ready-made report templates including the Bling! Looker Studio Report and Bling! Power BI Report. These templates connect directly to your data destination and display key metrics from your replicated pipelines without requiring manual report construction.
Which Bling! pipelines should I activate for complete sales analytics in S3?▼
For comprehensive sales analysis, activate the Sales Orders, Outgoing NFe, and Products pipelines. These provide order details, invoice records, and catalog information that enable you to analyze revenue trends, tax obligations, and product performance when queried through your data virtualization layer.
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