No-code pipeline · Olist Tiny → SQL Server

Send data from Olist Tiny to SQL Server

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From Olist Tiny to SQL Server: managed, scheduled, no code.
Kondado provides a direct connection between Olist Tiny and SQL Server, replicating 792 fields across fifteen pipelines including CRM Issues, Accounts Payable, and Order Details on a user-configured schedule ranging from five minutes to daily intervals.

Send Olist Tiny Data to SQL Server

Connect your Olist Tiny ERP to SQL Server using Kondado to automate data replication without writing code or managing complex API connections. Simply authenticate your Olist Tiny account as a data source, configure your SQL Server destination, and select from fifteen available pipelines to start transferring your ecommerce transactions, financial records, and operational data on a configurable schedule. Whether you need updates every five minutes for near-real-time analytics or prefer daily batches for historical reporting, Kondado maintains your SQL Server database with structured information ready for analysis.

Once your data lands in SQL Server, you can build custom analytics, combine Olist Tiny information with other business systems, and power operational dashboards that help you track inventory levels, monitor accounts receivable, and analyze customer purchasing patterns. The automated workflow eliminates manual CSV exports while ensuring your relational database contains consistent, normalized data for business intelligence and financial reporting.

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

Available Olist Tiny Pipelines for SQL Server

Replicate your Accounts Receivable and Accounts Payable pipelines to SQL Server to create comprehensive cash flow dashboards that track outstanding invoices, payment schedules, and vendor obligations alongside your banking data for complete financial visibility. The Order Details and Product Stock pipelines enable sophisticated inventory optimization workflows, allowing you to analyze sales velocity against current stock levels, identify slow-moving products, and automate reorder points using custom SQL queries and stored procedures. By combining CRM Issues data with your customer transaction history in SQL Server, support teams can prioritize tickets based on client lifetime value while managers monitor resolution times against revenue impact to improve service quality.

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Replicated to SQL Server

Olist Tiny data available for SQL Server

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

15
available pipelines
792
extractable fields
SQL Server
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 SQL Server

Sync data automatically — no code, no manual exports.

1
Connect Olist Tiny Account

Authenticate your Olist Tiny ERP credentials in Kondado to establish the data source connection and authorize access to your financial and operational records.

2
Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and credentials to establish the target location where your Olist Tiny pipelines will replicate.

3
Select Pipelines and Schedule

Choose from fifteen available pipelines such as Accounts Receivable and Order Details, then set your preferred update frequency from five minutes to daily intervals to automate data replication.

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Send data from Olist Tiny to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Olist Tiny data to SQL Server automatically

How does Kondado replicate Olist Tiny data to SQL Server?
Kondado connects directly to the Olist Tiny API to extract data from your selected pipelines and load it into your SQL Server instance on a configurable schedule. The platform handles data type mapping and schema creation automatically, ensuring your financial records, inventory data, and customer information arrive in properly structured tables ready for querying.
What Olist Tiny data can I replicate to SQL Server?
You can replicate fifteen distinct pipelines including CRM Issues, Accounts Payable, Accounts Receivable, Order Details, Product Stock, and Invoice Details containing 792 total fields. This covers your complete ERP dataset from customer support tickets and contact information to product catalogs and financial transactions.
How often does Olist Tiny data update in SQL Server?
Kondado updates your SQL Server database on a configurable schedule that you control, with options ranging from every five minutes for near-real-time visibility to hourly or daily intervals for batch processing. You can set different frequencies for individual pipelines based on your business requirements and data freshness needs.
Can I combine Olist Tiny data with other sources in SQL Server?
Yes, you can replicate data from additional sources into the same SQL Server database to create unified analytics across your business systems. Kondado supports connections to 80+ data sources, allowing you to join Olist Tiny ERP information with marketing platforms, payment processors, or other operational tools using standard SQL relationships and queries.
What format does Olist Tiny data take in SQL Server?
Each pipeline becomes a separate table in your SQL Server database with normalized column names and appropriate data types for financial figures, dates, and text fields. The schema preserves relationships between entities such as orders and customers, enabling you to write complex queries that analyze your ecommerce operations without data transformation work.
Are there pre-built dashboards available for Olist Tiny data?
Yes, Kondado offers ready-made report templates including the Olist Tiny Looker Studio Report and Olist Tiny Power BI Report that connect directly to your replicated data. You can also send your data to Looker Studio or Power BI alongside SQL Server to build visualizations without starting from scratch.
Do I need technical skills to set up the Olist Tiny to SQL Server pipeline?
No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating your Olist Tiny account and mapping data to SQL Server. Technical users can customize the configuration and schema, while business analysts benefit from automated data delivery without writing API scripts or managing extraction logic.

Try out all the features for free for 14 days

Try out all the features for free for 14 days