No-code pipeline · Olist Tiny → BigQuery

Send data from Olist Tiny to BigQuery

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

Send Olist Tiny Data to BigQuery Automatically

How to send Olist Tiny data to BigQuery? Kondado provides a direct integration that lets you replicate your ERP data to Google’s data warehouse without writing code. Simply connect your Olist Tiny account, select the pipelines you need from the available 15 data endpoints covering financial records, inventory, and customer management, and configure your update schedule. Your ecommerce transactions, accounts payable, and order details will flow into BigQuery automatically, ready for analysis with SQL queries or connection to business intelligence tools like Power BI and Looker Studio. This automated pipeline eliminates manual CSV downloads and ensures your data warehouse always contains current information for reporting and decision-making.

Kondado enables businesses to replicate Olist Tiny ERP data to BigQuery on a configurable schedule, making ecommerce financial records, inventory levels, and order details available for advanced analytics and reporting without manual exports.

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

Available Data for Analysis

With your Olist Tiny data in BigQuery, you can build comprehensive financial dashboards using the Accounts Receivable and Accounts Payable pipelines to track cash flow and outstanding balances across your ecommerce operations. The Order Details and Product Stock pipelines enable inventory optimization and sales performance analysis, allowing you to identify fast-moving products and manage reorder points efficiently. Combine these datasets with marketing or customer data to create unified reports that reveal profitability by product line, sales channel, and customer segment, turning raw ERP records into actionable business intelligence.

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Replicated to BigQuery

Olist Tiny data available for BigQuery

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

15
available pipelines
792
extractable fields
BigQuery
Destination

Available integrations

CRM Issues
Includes fields such as assunto_id, assunto_cliente, and assunto_data_acao, enabling tracking of the stage and status of each issue in the CRM.
CRM Issues Details
Presents detailed information such as cliente_codigo, cliente_nome, and cliente_cidade, providing a comprehensive view of issues and their respective clients.
Accounts Payable
Contains data such as id, data_emissao, and valor, allowing effective management of accounts payable and their respective statuses.
Accounts Receivable
Includes information on receivables such as id, data_emissao, and saldo, facilitating the tracking of revenues to be received.
Contacts
Presents data such as cliente_id_cliente, cliente_nome, and cliente_email, allowing effective management of contacts and their information.
Accounts Payable Details
Includes fields such as id, data_vencimento, and historico, providing a detailed view of accounts payable and their conditions.
Accounts Receivable Details
Presents information such as id, data_vencimento, and saldo, allowing detailed control of accounts receivable.
Invoice Details
Includes fields such as id, numero_doc, and data_emissao, providing a detailed view of issued invoices.
Invoice Details: XML
Presents information in XML format, including fields such as id and xml_data, allowing technical analysis of invoices.
Order Details
Includes fields such as id, data_pedido, and valor_total, providing a comprehensive view of orders placed.
Product Stock
Contains information about the available quantity of products, including fields such as id, product name, and stock balance.
Invoices
Records details of issued invoices, including fields such as id, issue date, and customer name.
Orders
Includes information about placed orders, with fields such as id, order date, and order status.
Products
Presents data about registered products, including id, name, and selling price.
Products: grid
Provides a grid view of products, with fields such as id, name, and category.

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How to send Olist Tiny data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect Olist Tiny to Kondado

Enter your Olist Tiny API credentials in the Kondado platform to establish a direct connection to your ERP system and authenticate access to the 15 available data pipelines.

2
Configure your BigQuery destination

Set up your BigQuery project and dataset details in Kondado, specifying the location where your Olist Tiny financial and operational data will be stored and organized.

3
Select pipelines and schedule updates

Choose which pipelines such as Accounts Receivable, Order Details, or Product Stock you want to replicate, then set your preferred update frequency from every 5 minutes to daily for automated data synchronization.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
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Send data from Olist Tiny to other destinations

Choose a tool to visualize your Olist Tiny 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 Olist Tiny data to BigQuery automatically

How does Kondado replicate Olist Tiny data to BigQuery?
Kondado connects directly to your Olist Tiny ERP system using your API credentials to extract data from the available pipelines. The platform then loads this information into your BigQuery dataset on your chosen schedule, maintaining data consistency and structure without requiring manual CSV exports or custom scripts.
What Olist Tiny data can I replicate to BigQuery?
You can replicate 15 different pipelines including financial data like Accounts Payable and Accounts Receivable, operational data such as Order Details and Product Stock, and customer information from the Contacts and CRM Issues pipelines. This covers 792 fields across ecommerce transactions, inventory management, and customer relationship data.
How often does Olist Tiny data update in BigQuery?
You can configure replication to run every 5 minutes, 15 minutes, hourly, or daily depending on your business needs and data freshness requirements. This automated scheduling ensures your BigQuery datasets stay current without manual intervention, supporting both near-real-time operational dashboards and daily financial reporting.
How is Olist Tiny data structured in BigQuery?
Each pipeline populates a dedicated BigQuery table with preserved field names and data types from your Olist Tiny ERP, including Portuguese field names like data_emissao and valor_total. The structure maintains relational integrity, allowing you to join Invoice Details with Orders or link CRM Issues to Contacts using standard SQL queries.
Can I combine Olist Tiny data with other sources in BigQuery?
Yes, once your Olist Tiny data resides in BigQuery, you can join it with data from other platforms like Olist Tiny, marketing tools, or web analytics. This enables comprehensive analysis such as correlating inventory levels from Product Stock with advertising spend or matching CRM Issues with support ticket data for complete customer lifecycle visibility.
Are there pre-built dashboards available for Olist Tiny BigQuery data?
Yes, Kondado provides ready-made report templates including the Olist Tiny Looker Studio Report and Olist Tiny Power BI Report that connect directly to your replicated BigQuery data. These templates offer immediate visualization of your ecommerce metrics, financial performance, and inventory status without requiring you to build charts from scratch.

Try out all the features for free for 14 days

Try out all the features for free for 14 days