No-code pipeline · Pagar.me → PostgreSQL

Send data from Pagar.me to PostgreSQL

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From Pagar.me to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from Pagar.me to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Pagar.me to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Pagar.me data and combining it with other data in your PostgreSQL database

Send Pagar.me Data to PostgreSQL Automatically

Connecting your Pagar.me account to PostgreSQL takes just minutes with Kondado’s direct integration. Simply authenticate your Pagar.me data source, configure your PostgreSQL destination, and select which pipelines you want to replicate. Kondado handles the automated data transfer on your chosen schedule, whether you need updates every 5 minutes or daily batches. Your payment data flows seamlessly into PostgreSQL, ready for complex SQL analysis and custom reporting without manual exports or complex coding. This automated pipeline ensures your financial records stay synchronized with your database, enabling consistent analytics and business intelligence workflows.

Kondado replicates Pagar.me data to PostgreSQL on a configurable schedule, offering 8 pipelines including Customers, Charges, Orders, and Receivables with 344 total fields available for analysis.

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

What You Can Do with Pagar.me Data in PostgreSQL

Once your data arrives in PostgreSQL, you can run sophisticated queries across the Customers and Charges pipelines to analyze payment patterns and customer lifetime value. Combine Receivables data with Orders information to build cash flow forecasts and track pending settlements directly in your database. With all 344 fields available, you create custom dashboards that correlate transaction amounts with customer demographics, enabling targeted marketing campaigns and financial reconciliation reports tailored to your specific business needs. The structured data format allows you to join Pagar.me records with other business data sources for comprehensive analytics.

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Replicated to PostgreSQL

Pagar.me data available for PostgreSQL

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

8
available pipelines
344
extractable fields
PostgreSQL
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.

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How to send Pagar.me data to PostgreSQL

Sync data automatically — no code, no manual exports.

1
Connect Your Pagar.me Account

Authenticate your Pagar.me data source in Kondado by entering your API credentials to establish the initial connection. This grants Kondado permission to read your payment data and financial records.

2
Configure Your PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the target location for your replicated data. Kondado will verify the connection and prepare the database structure.

3
Select Pipelines and Set Schedule

Choose which Pagar.me pipelines to replicate from the available 8 options, then configure your update frequency ranging from 5 minutes to daily. Kondado will begin the automated replication immediately based on your selections.

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Send data from Pagar.me to other destinations

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

Frequently Asked Questions (FAQ)

Answers about sending Pagar.me data to PostgreSQL automatically

How does Kondado replicate Pagar.me data to PostgreSQL?
Kondado uses a direct integration to connect your Pagar.me account and extract data through available APIs. The platform automatically loads this information into your PostgreSQL database on a configurable schedule you define, handling schema creation and updates without requiring manual intervention or custom scripts.
What Pagar.me data can I replicate to PostgreSQL?
You can replicate 8 different pipelines including Customers, Charges, Orders, Receivables, Balance Operations, and card or address details. This covers 344 fields total, giving you comprehensive access to transaction records, customer profiles, and financial operations for analysis in your database.
How often does Pagar.me data update in PostgreSQL?
Kondado updates your PostgreSQL database on a configurable schedule ranging from every 5 minutes to daily intervals. You select the frequency based on your business needs, ensuring your payment data stays current for time-sensitive financial reporting or near-real-time analytics.
What format does Pagar.me data take in PostgreSQL?
Data arrives in structured relational tables within PostgreSQL, with each pipeline representing separate tables containing normalized fields. You can immediately run SQL queries, create joins between related tables like Customers and Charges, and connect the data to visualization tools such as Power BI or Looker Studio.
Can I combine Pagar.me data with other sources in PostgreSQL?
Yes, once Pagar.me data resides in your PostgreSQL database, you can join it with information from other sources like e-commerce platforms or CRMs. This enables comprehensive analysis across your business operations, allowing you to correlate payment data with inventory levels, marketing campaigns, or customer service records stored in the same database.
Do I need coding skills to set up the Pagar.me to PostgreSQL pipeline?
No coding is required to establish the connection between Pagar.me and PostgreSQL. Kondado provides a no-code interface where you authenticate your accounts, select desired pipelines, and configure update schedules through a visual setup process that takes only minutes to complete.
Which PostgreSQL versions work with Kondado's Pagar.me integration?
Kondado supports standard PostgreSQL databases including self-hosted instances and managed services. The integration works with current PostgreSQL versions, automatically handling data type mapping and schema management to ensure compatibility with your existing database infrastructure.

Try out all the features for free for 14 days

Try out all the features for free for 14 days