No-code pipeline · Pagar.me → SQL Server

Send data from Pagar.me to SQL Server

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From Pagar.me to SQL Server: managed, scheduled, no code.

Kondado provides a direct integration between Pagar.me and SQL Server, automatically replicating 8 pipelines including Customers, Charges, Orders, Balance Operations, and Receivables to your Microsoft database on a user-configured schedule ranging from 5 minutes to daily intervals.

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Replicate Pagar.me Data to SQL Server Automatically

To send Pagar.me data to SQL Server, start by adding Pagar.me as a data source in your Kondado account and providing your API credentials. Next, configure SQL Server as your destination by entering your connection details and authentication parameters. Kondado then replicates your payment data on a configurable schedule, updating your database every 5 minutes, hourly, or daily based on your specific business requirements. The entire setup requires no coding and completes in minutes, enabling immediate access to your transaction data within your existing database infrastructure.

Once your data arrives in SQL Server, you can build custom financial reports, analyze payment conversion rates across different time periods, and combine Pagar.me transaction data with other business sources for comprehensive analytics. This automated workflow eliminates manual CSV exports and keeps your SQL Server database current with the latest customer, charge, and order information, enabling your team to make data-driven decisions faster.

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With the Customers pipeline in your SQL Server database, you can segment your buyer base by location and contact information to personalize marketing campaigns and improve retention strategies. The Charges and Receivables pipelines deliver detailed transaction data including amounts, dates, and status updates, enabling you to build cash flow forecasts and track payment success rates directly in SQL Server. By combining these pipelines with the Orders data, you create a complete view of your sales funnel from initial purchase through final settlement, allowing you to analyze conversion metrics and reconcile financial records without manual data manipulation.

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Replicated to SQL Server

Pagar.me data available for SQL Server

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

available pipelines

344

extractable fields

SQL Server

Destination

Available integrations

Customers

Includes information such as customer name, email, and status, along with address and phone data like area code and number.

Customers: Cards

Records card details including brand, expiration date, and status, along with cardholder name and card digits.

Customers: Addresses

Contains address data such as city, state, and country, along with creation date and address status.

Charges

Includes information on charges made, such as amount, date, and status, along with details of the associated customer.

Balance Operations

Records operations related to balance, including operation type, amount, and transaction date.

Orders

Contains details of orders placed, such as total amount, status, and creation date, along with customer information.

Recipients

Includes information about recipients, such as name, document, and status, along with creation and update data.

Receivables

Contains information about receivables, including amount, due date, and status, along with details of the associated customer.

See all available data → Send Pagar.me to SQL Server →

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How to send Pagar.me data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Pagar.me to Kondado

Authenticate your Pagar.me account by entering your API key in the Kondado platform to establish the data source connection.

Configure SQL Server Destination

Enter your SQL Server host address, database name, and credentials to set up the destination where your Pagar.me data will replicate.

Select Pipelines and Schedule

Choose which of the eight available pipelines to replicate and set your preferred update frequency from 5-minute intervals to daily syncs.

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Send data from Pagar.me to other destinations

Pagar.me > Looker Studio

Pagar.me > Power BI

Other visualizations

Pagar.me > Amazon S3

Pagar.me > BigQuery

Pagar.me > Excel

Pagar.me > Google Sheets

Pagar.me > MySQL

Pagar.me > PostgreSQL

Pagar.me > Redshift

Pagar.me > SQL Server

Choose a tool to visualize your Pagar.me data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Pagar.me > Airtable

Pagar.me > Alteryx

Pagar.me > Amazon Quicksight

Pagar.me > BIMachine

Pagar.me > Cortex

Pagar.me > Data Studio

Pagar.me > Geckoboard

Pagar.me > Grafana

Pagar.me > IBM Cognos Analytics

Pagar.me > Klipfolio

Pagar.me > Looker Studio

Pagar.me > Looker

Pagar.me > Looqbox

Pagar.me > Metabase

Pagar.me > Microstrategy

Pagar.me > Pentaho

Pagar.me > Power BI

Pagar.me > Qlik Cloud Analytics

Pagar.me > Qlik Sense

Pagar.me > Qlik

Pagar.me > QlikView

Pagar.me > Redash

Pagar.me > Superset

Pagar.me > Tableau

Pagar.me > BI TOTVS

Pagar.me > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Pagar.me data to SQL Server automatically

How does the Pagar.me to SQL Server replication work? ▼

Kondado connects directly to the Pagar.me API to extract your payment data and loads it into your SQL Server database tables. The platform handles schema mapping automatically, converting Pagar.me's JSON responses into structured relational format suitable for SQL queries. You configure the update frequency during setup, and Kondado manages all subsequent data transfers without requiring manual intervention.

What Pagar.me pipelines are available for SQL Server replication? ▼

You can replicate eight distinct pipelines including Customers, Customers: Cards, Customers: Addresses, Charges, Balance Operations, Orders, Recipients, and Receivables. Each pipeline contains specific fields such as transaction amounts, customer contact details, card information, and order statuses. This comprehensive coverage enables you to analyze everything from individual payment methods to overall cash flow operations within your SQL Server environment.

How frequently can I update Pagar.me data in SQL Server? ▼

Kondado offers configurable scheduling options ranging from every 5 minutes to daily intervals, allowing you to balance data freshness with system resources. You can select near-real-time updates for operational dashboards or hourly syncs for standard reporting needs. The schedule can be modified at any time through the platform interface to adapt to changing business requirements.

How is Pagar.me data structured when it arrives in SQL Server? ▼

Each Pagar.me pipeline becomes a separate table in your SQL Server database with columns corresponding to the 344 available fields across all endpoints. The data maintains relational integrity, with foreign key relationships preserved between Customers, Orders, and Charges where applicable. This structure allows you to write complex SQL queries joining payment data with your existing business tables.

Can I combine Pagar.me data with other sources in SQL Server? ▼

Yes, you can replicate data from over 80 additional sources into the same SQL Server database, creating a unified data warehouse. For example, combine Pagar.me transaction records with marketing analytics from Google Sheets or business intelligence from Power BI to generate comprehensive business intelligence. This consolidation enables cross-functional analysis without maintaining separate data silos.

Do I need coding skills to connect Pagar.me to SQL Server? ▼

No coding is required to establish the connection or maintain ongoing data replication. Kondado provides a visual interface where you enter your Pagar.me API credentials and SQL Server connection details through simple form fields. The platform handles all technical aspects including data type conversion, schema creation, and automated scheduling without writing SQL or API code.

Which SQL Server versions support Pagar.me data replication? ▼

Kondado supports multiple SQL Server versions including standard and enterprise editions running on-premises or in cloud environments. The connection works with SQL Server 2016 and newer releases, ensuring compatibility with modern T-SQL features and performance optimizations. Both Windows and Linux-hosted SQL Server instances can receive Pagar.me data through standard TCP/IP connections.

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