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Connect QuickBooks to BigQuery

Connect QuickBooks to Big Query and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a QuickBooks API pipeline.

QuickBooks export job

First sync scheduled

QuickBooks Selected accounts

Configured job

BigQuery Destination table

Account QuickBooks · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export QuickBooks data to Big Query

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize QuickBooks data in BigQuery

Bring all your QuickBooks Metrics data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

QuickBooks Finance data

INcompanies PMaccounts CUcustomers BLvendors

Catchr pipeline IN PM CU Extract · normalize · load

BigQuery catchr_data.QuickBooks_raw

TableScopeStatus

companiesSelectedReady

accountsSelectedReady

customersSelectedReady

vendorsSelectedReady

Data Freshness

Keep your warehouse always up to date

Automatically sync new data from QuickBooks so every dashboard, model, and report works with fresh information.

QuickBooks MetricsConfigured account

BigQueryQuickBooks Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

companies326 updated accounts102 appended Warehouse up to date

Data Freshness

Unify QuickBooks with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks companies · Customer Balance Finance

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

BigQuery model business_360 Unified

FieldFrom

customer_idCRM

Customer Balancecompanies

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

QuickBooks metrics and dimensions available in Google Big Query

Access 15 metrics and 97 dimensions from QuickBooks connectors including Invoice Total Amount, Payment Total Amount, Customer Balance, Invoice Balance, Total Tax, Invoice Transaction Date, Payment Transaction Date, Invoice Customer Name, Document Number, Invoice Currency, Due Date and many more...

Metrics availables

Dimensions availables

View all QuickBooks Metrics metrics and dimensions

Connect QuickBooks to BigQuery in minutes

Move your data from QuickBooks to BigQuery with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your QuickBooks account

Authenticate your QuickBooks account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

QuickBooks 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step Two

Choose the Big Query Destination

Select your Google Cloud project and BigQuery dataset. Catchr automatically prepares the destination and maps your data into analytics-ready tables.

Destination / Google BigQuery Required fields

Project ID Required

Dataset ID Required

Service-account JSON key Required

Step three

Keep your warehouse in sync

Catchr continuously imports new and updated data into BigQuery.

Your warehouse stays fresh automatically, ready for SQL, dbt, BI tools, and AI workloads.

Destination / Google BigQuery Example

Project ID Required

agency-reporting-prod

Dataset ID Required

marketing_raw

Service-account JSON key Required

catchr-bigquery-writer.json

Destination table Per job

facebook_ads_daily

Date partition Optional

date

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

First sync scheduled Selected fields · configured history

06:00 UTC

Review 30-day QuickBooks invoice activity in SQL.

Once the table is available, query the fields you selected and named. This example summarizes invoiced revenue, outstanding balances, and invoice volume by customer.

30-day window

SELECT
  customer_name,
  SUM(total_amount) AS total_invoiced,
  SUM(balance) AS outstanding_balance,
  COUNT(*) AS invoices
FROM `your_project.marketing_raw.quickbooks_invoices`
WHERE invoice_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY customer_name
ORDER BY total_invoiced DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your QuickBooks data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Used by the world's leading companies

Export QuickBooks data to Big Query

Centralize QuickBooks data in BigQuery

Keep your warehouse always up to date

Unify QuickBooks with the rest of your business data

QuickBooks metrics and dimensions available in Google Big Query

Connect QuickBooks to BigQuery in minutes

Connect your QuickBooks account

Choose the Big Query Destination

Keep your warehouse in sync

Review 30-day QuickBooks invoice activity in SQL.

Connect more table to your QuickBooks data

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