No-code pipeline · ASAAS → SQL Server

Send data from ASAAS to SQL Server

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From ASAAS to SQL Server: managed, scheduled, no code.
Kondado automatically replicates ASAAS Clients and Payments data to SQL Server on a configurable schedule, making your financial information available for analysis without manual exports.

Replicate ASAAS Data to SQL Server Automatically

Kondado provides a direct integration between ASAAS and SQL Server, allowing you to replicate your financial data without writing code or managing complex API connections. Simply connect your ASAAS account as a data source, configure SQL Server as your destination, and select which pipelines you want to replicate. The platform handles the data extraction and loading automatically on your chosen schedule, ensuring your database stays current with the latest payment and client information from your digital banking platform.

Once configured, your ASAAS data flows directly into SQL Server where you can query it using T-SQL alongside other business data sources. This automated pipeline eliminates the need for manual CSV downloads and ensures your financial reports always reflect current payment statuses, billing details, and customer information for accurate business intelligence.

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

Available ASAAS pipelines for SQL Server

The Clients pipeline brings customer details including names, emails, CPF/CNPJ tax identifiers, and geographic location data directly into your SQL Server database, enabling you to build comprehensive customer segmentation analysis and detailed receivables tracking. Meanwhile, the Payments pipeline delivers complete transaction data with dates, monetary values, payment statuses, billing types, and discount information, allowing you to create accurate cash flow forecasts and automated financial reports directly in SQL Server. Together, these datasets enable sophisticated SQL queries that combine ASAAS financial data with your existing business intelligence for complete revenue visibility and operational insights.

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Replicated to SQL Server

ASAAS data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

2
available pipelines
128
extractable fields
SQL Server
Destination

Available integrations

Clients
Table contains information about clients, including fields such as name, email, and CPF/CNPJ, along with details like city and state.
Payments
Table presents payment data, with fields such as payment date, value, status, and billing type, along with information on discounts and interest.

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How to send ASAAS data to SQL Server

Sync data automatically — no code, no manual exports.

1
Connect ASAAS to Kondado

Authenticate your ASAAS account in Kondado by providing your API credentials to establish the data source connection. This grants the platform access to your Clients and Payments data for replication.

2
Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish where your ASAAS data will be stored.

3
Select Pipelines and Schedule

Choose which ASAAS pipelines to replicate and set your preferred update frequency, ranging from every 5 minutes to daily, to keep your SQL Server database synchronized with your financial data.

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Frequently Asked Questions (FAQ)

Answers about sending ASAAS data to SQL Server automatically

How does the ASAAS to SQL Server replication work?
Kondado connects to the ASAAS API using your credentials to extract data from the available pipelines. The platform then automatically loads this information into your SQL Server database on the schedule you configure, handling all data type mapping and schema creation without requiring manual intervention.
What specific ASAAS data can I replicate to SQL Server?
You can replicate two main pipelines: Clients, which includes customer names, emails, CPF/CNPJ tax identifiers, and location data, and Payments, which contains transaction dates, values, statuses, billing types, discount amounts, and interest calculations. This gives you complete visibility into both your customer base and financial transactions.
How often does ASAAS data update in SQL Server?
Kondado updates your SQL Server database on a configurable schedule that you set during setup, with options ranging from every 5 minutes to daily intervals. This ensures your financial data stays current according to your business needs without overwhelming your database with unnecessary updates.
Can I combine ASAAS data with other sources in SQL Server?
Yes, once your ASAAS data resides in SQL Server, you can join it with data from other pipelines or external sources using standard SQL queries. This allows you to create unified reports that correlate payment information with inventory, sales, or marketing data stored in the same database instance.
What format does ASAAS data take in SQL Server?
ASAAS data is replicated into standard SQL Server tables with appropriate data types for each field, including datetime for payment dates, decimal for monetary values, and varchar for text fields like customer names and email addresses. Kondado automatically handles the schema creation and data type conversion to ensure compatibility with your existing database structure.
Do I need coding skills to set up the ASAAS SQL Server connection?
No, Kondado provides a no-code interface for connecting your ASAAS account and configuring SQL Server as the destination. You simply authenticate with ASAAS, enter your SQL Server connection details, and select which pipelines to replicate using the visual interface.
Can I send ASAAS data to other tools besides SQL Server?
Yes, Kondado supports multiple destinations including Power BI, Google Sheets, BigQuery, and PostgreSQL. You can create separate pipelines to send different ASAAS datasets to various destinations based on your reporting needs.
What can I build with ASAAS data in SQL Server?
You can build custom financial dashboards, automated cash flow reports, customer payment history analysis, and aging receivables reports using SQL queries and your preferred analytics tools. The structured data enables complex analytics like cohort analysis and revenue forecasting when combined with your existing business data.

Try out all the features for free for 14 days

Try out all the features for free for 14 days