From Tiny ERP to SQL Server: managed, scheduled, no code.
Creating a pipeline that sends data from Tiny ERP to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Tiny ERP to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Tiny ERP data and combining it with other data in your SQL Server database
Kondado provides a direct integration between Tiny ERP and SQL Server, enabling automated data replication without coding. Configure your connection to the Tiny ERP data source, select your desired pipelines from the available 15 endpoints covering finance, inventory, sales, and customer management, and set your preferred update frequency. Your business data flows directly into your Microsoft database on a configurable schedule, ready for complex queries and business intelligence workflows.
Once configured, Kondado maintains your SQL Server database with fresh data from your ecommerce, retail, and service industry operations, eliminating manual exports and ensuring your analytics reflect current business conditions. Technical teams can join Tiny ERP information with additional sources within SQL Server to create unified views of organizational performance.
Kondado replicates Tiny ERP data to SQL Server automatically on a configurable schedule, offering 15 pipelines including Accounts Payable, Accounts Receivable, Product Inventory, Orders, and CRM Issues with 792 total fields available for comprehensive operational analysis and reporting.
Replicate your Accounts Receivable and Accounts Payable pipelines to maintain accurate cash flow monitoring within SQL Server, enabling finance teams to calculate aging reports and working capital metrics using fresh invoice and payment data. The Product Inventory pipeline synchronizes stock levels and product details, supporting automated reorder point calculations and warehouse allocation analysis directly in your database.
Combine Order Details with CRM Issues data to analyze customer service performance against sales volume, identifying patterns between support tickets and purchasing behavior. With 792 fields available across 15 pipelines, SQL Server becomes your central repository for unified ecommerce analytics, connecting retail operations with financial management in a single query environment.
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Replicated to SQL Server
Tiny ERP 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.
CRM Issues Details
Presents detailed information such as cliente_codigo, cliente_nome, and cliente_endereco, facilitating the analysis of associated contacts.
Accounts Payable
Contains records with id, data_emissao, and valor, allowing control over accounts payable and their respective statuses.
Accounts Receivable
Includes fields such as id, data_emissao, and saldo, facilitating the management of accounts receivable and their history.
Contacts
Contains information such as cliente_id_cliente, cliente_nome, and cliente_fone, allowing effective management of contacts.
Accounts Payable Details
Includes fields such as id, data_vencimento, and situacao, allowing detailed tracking of accounts payable.
Accounts Receivable Details
Presents information such as id, data_vencimento, and saldo, facilitating control over accounts receivable.
Invoice Details
Includes fields such as id, data_emissao, and historico, allowing detailed tracking of issued invoices.
Invoice Details: XML
Presents information in XML format, including fields such as id and tax data, facilitating integration with external systems.
Order Details
Includes fields such as id, data_pedido, and valor_total, allowing detailed tracking of placed orders.
Product Inventory
Table provides information about inventory, including fields such as id, product name, and available quantity.
Invoices
Table contains details of invoices, featuring fields such as id, issue date, and customer name.
Orders
Table lists the orders placed, including fields such as order id, order date, and status.
Products
Table presents information about products, with fields such as id, name, and price.
Product Grid
Table provides a detailed grid of products, including fields such as id, description, and category.
Sync data automatically — no code, no manual exports.
1
Connect Tiny ERP to Kondado
Authenticate your Tiny ERP data source by entering your API credentials in the Kondado platform. Select the specific pipelines you want to replicate from the 15 available options covering your financial, inventory, and customer data.
2
Configure SQL Server Destination
Enter your SQL Server connection details including server address, database name, and authentication credentials. Kondado validates the connection to ensure your Tiny ERP data can flow directly into your Microsoft database environment.
3
Select Data and Schedule Updates
Choose your pipelines from Accounts Payable, Product Inventory, Orders, or other available endpoints, then set your preferred update frequency. Kondado automatically replicates your selected Tiny ERP data to SQL Server on this configurable schedule, maintaining fresh records for your analysis.
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Answers about sending Tiny ERP data to SQL Server automatically
How does Kondado replicate Tiny ERP data to SQL Server?▼
Kondado connects directly to your Tiny ERP instance using authentication credentials you provide. The platform extracts data from your selected pipelines, transforms it into structured formats compatible with SQL Server, and loads it into your specified database on your chosen schedule. No manual scripting or API development is required to maintain the flow.
What Tiny ERP data can I replicate to SQL Server?▼
Kondado offers 15 distinct pipelines including financial data like Accounts Payable and Accounts Receivable, operational information such as Product Inventory and Orders, and customer management data through CRM Issues and Contacts. Each pipeline contains specific fields, totaling 792 available data points covering your ecommerce, retail, and service operations.
How often does Tiny ERP data update in SQL Server?▼
Update frequency is fully configurable based on your business requirements, with options ranging from every 5 minutes to daily intervals. Once you set your preferred schedule during setup, Kondado automatically extracts new and modified records from Tiny ERP and applies them to your SQL Server database without manual intervention.
Can I combine Tiny ERP data with other sources in SQL Server?▼
Yes, SQL Server serves as an ideal consolidation point for data from multiple origins. You can replicate information from Tiny ERP alongside data from Google Sheets, BigQuery, or PostgreSQL into the same database instance. This enables cross-source analysis and unified reporting across your entire technology stack.
What format does Tiny ERP data take in SQL Server?▼
Data arrives in SQL Server as structured relational tables with preserved data types from Tiny ERP, ready for immediate querying using standard T-SQL. Each pipeline corresponds to dedicated tables containing normalized records, allowing you to build views, stored procedures, and complex joins between your ERP information and existing database assets.
Are there pre-built dashboards available for Tiny ERP data in SQL Server?▼
Yes, Kondado provides pre-built report templates including the Olist Tiny Looker Studio Report and Olist Tiny Power BI Report. These templates connect directly to your SQL Server database, offering immediate visualization capabilities for your replicated Tiny ERP data without requiring you to design dashboards from scratch.
Do I need coding skills to send Tiny ERP data to SQL Server?▼
No coding is required to establish or maintain your Tiny ERP to SQL Server pipeline. The setup process uses a visual interface where you authenticate your Tiny ERP account, specify your SQL Server connection parameters, and select which pipelines to replicate. All data extraction, formatting, and loading operations happen automatically behind the scenes.
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