DataToLakeDataToLake
Use Case

QuickBooks to Tableau, Qlik, and Other Reporting Tools

Connect QuickBooks Online data to Tableau, Qlik, Excel, Fabric, or any BI tool your team uses — automated syncs, no manual QuickBooks exports.

Use QuickBooks Online data with Tableau, Qlik, Excel, Fabric, or other reporting tools.

Work from reporting-ready JSON files instead of one-off QuickBooks exports.

Give analysts a stable data source they can model in the BI tool they prefer.

Keep the QuickBooks sync managed by DataToLake while your team chooses the reporting layer.

Your data is not locked to one report

DataToLake makes selected QuickBooks Online entities available as JSON files. Power BI is a natural starting point, but the data can also be used by other tools that can ingest files directly or through an intermediate data pipeline.

Flexible reporting architecture

Teams can connect Tableau, Qlik, Excel, Fabric, warehouses, lakehouses, or custom processes to the synced data. DataToLake keeps the QuickBooks extraction and refresh process managed, while your analysts decide how the data should be modeled and visualized.

DataToLake setup path

DataToLake is built so customers can get QuickBooks data accessible for reporting without standing up their own data pipeline.

Create a DataToLake account, choose a subscription, and complete payment.

Connect QuickBooks Online, choose the company or companies, and select the entities to refresh.

DataToLake stores the selected data securely and makes it available for reporting.

Sign up, connect your first QuickBooks company, and your data is typically available within 15 minutes.

Use the DataToLake Power BI template or your own report to connect to your data and start analyzing.

Azure Data Lake Storage (ADLS) is used behind the scenes; customers do not need their own Azure subscription.