No-code pipeline · ASAAS → BigQuery

Send data from ASAAS to BigQuery

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From ASAAS to BigQuery: managed, scheduled, no code.

Kondado provides a direct integration between ASAAS and BigQuery, replicating client and payment data automatically on schedules ranging from five minutes to daily, enabling businesses to analyze financial metrics alongside other operational data sources.

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Send ASAAS Data to BigQuery Automatically

Kondado enables businesses to replicate their ASAAS financial data directly into BigQuery without writing code. Our platform connects to your ASAAS account and delivers payment records, client information, and transaction details to your data warehouse on a configurable schedule. Whether you need updates every five minutes or daily batches, Kondado automates the entire process so your analytics team always works with current information.

Once your ASAAS data lands in BigQuery, you can combine it with information from other platforms to build comprehensive financial reports and identify trends in cash flow, customer behavior, and payment performance. This automated pipeline eliminates manual data extraction and ensures your Looker Studio dashboards or Power BI reports reflect the latest business metrics without manual intervention.

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

Available Pipelines and Use Cases

Kondado offers two essential pipelines for ASAAS users looking to centralize their financial operations in BigQuery. The Clients pipeline captures comprehensive customer profiles including contact details, tax identifiers, and geographic information, while the Payments pipeline tracks transaction dates, values, billing methods, and financial adjustments like discounts and interest charges.

With this data in BigQuery, finance teams can calculate customer lifetime value, analyze payment success rates by region, monitor accounts receivable aging, and identify which billing types generate the most revenue. These insights enable businesses to optimize their collection strategies and improve cash flow forecasting by combining ASAAS transaction data with marketing or sales information already stored in their data warehouse.

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Replicated to BigQuery

ASAAS data available for BigQuery

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

available pipelines

128

extractable fields

BigQuery

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 BigQuery →

Try out all the features for free for 14 days

How to send ASAAS data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Your ASAAS Account

Authenticate your ASAAS credentials in Kondado to establish read-only access to your financial data. The platform will automatically detect available pipelines including Clients and Payments.

Configure BigQuery Destination

Select BigQuery as your target warehouse and specify the dataset where you want your replicated data stored. Kondado handles the schema creation and table structure automatically.

Select Pipelines and Schedule

Choose which data pipelines to activate and set your preferred update frequency, from five-minute intervals to daily batches. Once configured, Kondado begins replicating your ASAAS data according to your schedule.

Try out all the features for free for 14 days

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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 BigQuery automatically

How does Kondado replicate ASAAS data to BigQuery? ▼

Kondado uses a direct integration to extract data from your ASAAS account and load it into BigQuery on your chosen schedule. You simply authenticate your ASAAS account, select which pipelines to enable, and define how frequently you want updates to occur. The platform handles all data transformation and schema mapping automatically.

What specific ASAAS data can I import into BigQuery? ▼

You can replicate client information including names, email addresses, CPF/CNPJ tax identifiers, and location data, plus payment records containing transaction values, dates, status, billing types, and applied discounts or interest. These pipelines give you complete visibility into both your customer base and financial transactions.

How often does ASAAS data update in BigQuery? ▼

Kondado supports configurable update schedules ranging from every five minutes to daily, depending on your business requirements. You can set different frequencies for each pipeline, updating Payments data every fifteen minutes while refreshing Clients data hourly to match your specific analytical needs.

Can I combine ASAAS payment data with other sources in BigQuery? ▼

Yes, once your ASAAS data resides in BigQuery, you can join it with information from sources like PostgreSQL, Google Sheets, or other business applications. This allows you to correlate payment patterns with marketing campaigns, inventory levels, or customer support interactions for holistic business intelligence.

What format does ASAAS data take when replicated to BigQuery? ▼

ASAAS data arrives in BigQuery as structured tables with properly defined schemas that preserve data types from the source. Each pipeline creates dedicated tables containing fields like payment amounts as numeric values, dates in timestamp format, and customer identifiers as strings, ready for SQL querying immediately upon replication.

Do I need technical skills to connect ASAAS to BigQuery? ▼

No coding is required to establish the connection between ASAAS and BigQuery. Kondado provides a visual interface where you authenticate your accounts, select desired pipelines, and configure scheduling through dropdown menus. Technical teams can then focus on building analytics rather than maintaining data pipelines.

Can I analyze ASAAS data in tools other than BigQuery? ▼

Absolutely. After replicating to BigQuery, you can visualize ASAAS data in Looker Studio, Power BI, or Google Sheets. BigQuery serves as your central data warehouse while your preferred business intelligence tools provide the visualization layer for financial reporting.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days