Import your QuickBooks data to Google BigQuery

Import your data from QuickBooks to Google BigQuery - Blendo.co

Easily ETL your QuickBooks data into Google BigQuery

With Blendo QuickBooks integration, it is easy to import QuickBooks data into Google BigQuery to get more answers about your accounting. Go beyond QuickBooks’s dashboards and ask any question you want about your accounting and payments data. Drill down to your financial data, find out which are your most profitable campaigns, marketing expenses, CAC, customer support costs and more.

Use Cases

As soon as your QuickBooks data is synced into Google BigQuery here are some ways you can use it.

Consolidate accounts

Get data from all your accounts in one place and consolidate them to your needs.

Revenue and LTV

Find out which are your most valuable referral sources or what is the LTV of your customer and from which channel arrived.

Email Campaign Revenue

Combine data from other sources like email marketing services. Uncover the funnel of your subscribers that converts better and earns you revenue.

How to get started with QuickBooks and Google BigQuery data integration

Loading your QuickBooks data into Google BigQuery is easy. First, you need to connect Google BigQuery as a Destination data warehouse. Then add QuickBooks as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from QuickBooks and load it into your Google BigQuery data warehouse.

Connect Google BigQuery

Connect Google BigQuery

Connect QuickBooks as Data Source

Connect QuickBooks as Data Source

We will load all your QuickBooks data

We will load all your QuickBooks data

Read more on how you can use your QuickBooks data after you have them in your data warehouse.

Detailed Documentation

Check our documentation on how to setup QuickBooks integration as a Data Source and start syncing your accounting data to Google BigQuery.

Check our documentation on how to connect Google BigQuery as a Data warehouse destination and start loading your data in minutes.