No-code pipeline · ASAAS → Amazon S3

Send data from ASAAS to Amazon S3

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From ASAAS to Amazon S3: managed, scheduled, no code.

Kondado provides a direct integration between ASAAS and Amazon S3, replicating Clients and Payments data on a configurable schedule ranging from every 5 minutes to daily, with no coding required.

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Send ASAAS Data to Amazon S3 Automatically

Kondado enables businesses to send ASAAS data to Amazon S3 without writing a single line of code. Simply connect your ASAAS account as a data source, configure Amazon S3 as your destination, and select the financial pipelines you need replicated. The platform handles the extraction and loading automatically on your chosen schedule, whether you require near-real-time updates every 5 minutes or prefer daily batch processing for historical analysis.

Once your ASAAS data lands in Amazon S3, you can leverage AWS Athena to analyze payment patterns, join receivables data with sales information from other sources, or pipe clean datasets into Power BI and Looker Studio for executive dashboards. This setup empowers finance teams to build custom reports that track cash flow, monitor invoice status, and identify late payment trends without manual data exports.

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Available Pipelines

Replicate the Clients pipeline to maintain a centralized repository of customer information including CPF, CNPJ, and geographic details directly in your Amazon S3 data lake. The Payments pipeline delivers comprehensive transaction records covering billing types, discount applications, and interest calculations, enabling detailed cash flow analysis.

With both datasets available in Amazon S3, you can run SQL queries via Athena to correlate client profiles with payment behaviors, calculate days sales outstanding by region, or merge ASAAS financial data with inventory records from other systems to analyze profitability per customer segment. This automated replication ensures your S3 bucket always contains current financial information ready for business intelligence tools.

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Replicated to Amazon S3

ASAAS data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

128

extractable fields

Amazon S3

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.

See all available data → Send ASAAS to Amazon S3 →

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How to send ASAAS data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your ASAAS Account

Access the data sources menu and select ASAAS to initiate the connection. Enter your API credentials to authenticate and establish the link between your financial platform and Kondado.

Configure Amazon S3 Destination

Provide your S3 bucket details and authentication parameters to designate where your ASAAS data should land. This setup enables seamless delivery of financial datasets directly into your AWS storage environment.

Select Pipelines and Schedule

Choose the Clients and Payments pipelines you want to replicate, then set your preferred update frequency from every 5 minutes to daily. Once configured, Kondado automatically maintains your Amazon S3 dataset current for analysis in Power BI or BigQuery.

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Send data from ASAAS to other destinations

ASAAS > Looker Studio

ASAAS > Power BI

Other visualizations

ASAAS > Amazon S3

ASAAS > BigQuery

ASAAS > Excel

ASAAS > Google Sheets

ASAAS > MySQL

ASAAS > PostgreSQL

ASAAS > Redshift

ASAAS > SQL Server

Choose a tool to visualize your ASAAS data

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

ASAAS > Airtable

ASAAS > Alteryx

ASAAS > Amazon Quicksight

ASAAS > BIMachine

ASAAS > Cortex

ASAAS > Data Studio

ASAAS > Geckoboard

ASAAS > Grafana

ASAAS > IBM Cognos Analytics

ASAAS > Klipfolio

ASAAS > Looker Studio

ASAAS > Looker

ASAAS > Looqbox

ASAAS > Metabase

ASAAS > Microstrategy

ASAAS > Pentaho

ASAAS > Power BI

ASAAS > Qlik Cloud Analytics

ASAAS > Qlik Sense

ASAAS > Qlik

ASAAS > QlikView

ASAAS > Redash

ASAAS > Superset

ASAAS > Tableau

ASAAS > BI TOTVS

ASAAS > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending ASAAS data to Amazon S3 automatically

How does Kondado replicate ASAAS data to Amazon S3? ▼

Kondado connects to your ASAAS account via API to extract data from the available pipelines. The platform then automatically loads this information into your specified Amazon S3 bucket on your configured schedule, maintaining data consistency without manual intervention.

What specific ASAAS data can I replicate to Amazon S3? ▼

You can replicate the Clients pipeline containing names, emails, CPF/CNPJ numbers, and location data, plus the Payments pipeline with transaction dates, values, status, billing types, discounts, and interest details. These datasets provide comprehensive coverage of your financial operations and customer base.

How frequently can I update my ASAAS data in Amazon S3? ▼

Kondado supports configurable schedules ranging from every 5 minutes for near-real-time visibility to hourly or daily updates for batch processing. You can adjust the frequency based on your reporting needs and data freshness requirements.

What format is the data stored in when it reaches Amazon S3? ▼

The data arrives in structured file formats optimized for analytics, ready to be queried directly through AWS Athena or loaded into BigQuery. This format ensures compatibility with data virtualization tools like Presto and Dremio for immediate analysis.

Can I combine ASAAS financial data with other business data in Amazon S3? ▼

Yes, once your ASAAS data resides in Amazon S3, you can join it with datasets from PostgreSQL, MySQL, or other sources. This enables unified analysis such as correlating payment trends with inventory levels or marketing campaign performance.

Is coding required to send ASAAS data to Amazon S3? ▼

No coding is necessary to establish the connection. Kondado provides a no-code interface where you authenticate your ASAAS account, configure your S3 destination, and select pipelines through a visual setup process.

Can I send ASAAS data to destinations other than Amazon S3? ▼

Absolutely, Kondado enables you to replicate ASAAS data to Power BI, Google Sheets, BigQuery, Looker Studio, and PostgreSQL simultaneously while maintaining your Amazon S3 repository.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days