ETL iikoCloud data to ClickHouse

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.

iikoCloud is a powerful restaurant management platform trusted by leading businesses.
Renta Marketing ELT seamlessly transfers your iikoCloud data to ClickHouse, enabling real-time analytics and deeper marketing insights.
Enjoy automated, secure, and always up-to-date data flows for smarter decision-making and scalable growth.

Set up your ELT pipeline in 3 simple steps

Select iikoCloud as your data source and securely authenticate your account to initiate the data extraction process.

Selecting iikoCloud as the data source in Renta.
1Connect your source

Select iikoCloud as your data source and securely authenticate your account to initiate the data extraction process.

Selecting iikoCloud as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the iikoCloud API

Renta supports 7 methods of data export using the iikoCloud API.

Organizations

Retrieves information about restaurant organizations connected to the iikoCloud account, including identifiers, names, and configuration details.

Menu

Provides the full menu structure, including categories, products, modifiers, prices, and availability for each organization.

Orders

Returns detailed data on customer orders, including order items, statuses, payment details, delivery information, and timestamps.

Customers

Accesses customer profiles, including contact information, loyalty program status, and visit history.

Terminals

Lists POS terminals and their operational statuses, enabling monitoring and integration with in-store systems.

Employees

Retrieves employee records, including roles, permissions, and work schedules.

Stock

Provides inventory data, including stock levels, product movements, and warehouse information.

Use cases

Unlock actionable iikoCloud insights

  • Track real-time restaurant sales trends across locations for agile decision-making
  • Analyze menu item performance to optimize pricing and promotions instantly
  • Monitor customer visit frequency to boost loyalty program effectiveness
  • Identify peak hours and staff allocation needs using historical order data
  • Correlate marketing campaigns with in-store sales uplift for ROI analysis
  • Detect anomalies in transaction data to prevent revenue leakage and fraud
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Use cases: iikoCloud and ClickHouse integration
Frequently asked questions
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