Business category Paid integration Certified by Stitch

Expected Quickbooks Online data

Here’s a sample of the raw Quickbooks Online data that Stitch will replicate to your analytics warehouse:

Accounts

The accounts table includes the account ID, name, status, type, balance, currency, and creation time.

Table name: quickbooks_accounts

Bills

The bills table contains information about AP transactions, or a request-for-payment from a third-party. Attributes include currency type, exchange rate, total amount, due date, balance, and more.

Table name: quickbooks_bills

Deposits

Deposits include direct deposits and customer payments moved into the Asset Account after being held in the Undeposited Funds account. Attributes include the amount, deposit ID, and date.

Table name: quickbooks_deposits

Journal Entries

The journalentries table records AR and AP account information, including the journal entry ID, transaction date, and line item information.

Table name: quickbooks_journalentries

Invoices

Invoices are sales forms that a customer pays later. The invoices table records any deposit information, date, line items, tax information, and customer information.

Table name: quickbooks_invoices

Transfers

The transfers table records information on funds moved between accounts. Attributes include the transfer ID, amount, account information, and date.

Table name: quickbooks_transfers

View all tables

Learn more about syncing Quickbooks Online data

Documentation

Detailed documentation on how to start syncing Quickbooks Online data.

Quickbooks Online Documentation

Manual Instructions

How to extract data from Quickbooks Online and load it to Amazon Redshift manually.

Quickbooks Online to Amazon Redshift Manually

Jumpstart your Quickbooks Online analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Quickbooks Online data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Quickbooks Online. Here’s a look at code for modeling Quickbooks Online data. This particular block of code models the general ledger for all accounts and provides a solid foundation for further analysis.

View the source on GitHub → 
                          
                            with unioned as (
  select
    id,
    txn_date,
    amount,
    account_id,
    transaction_type::varchar(64),
    source::varchar(64),
    class_id
  from {{ref('quickbooks_bill_transactions')}}
  union all
  select * from {{ref('quickbooks_billpayment_transactions')}}
  union all
  select * from {{ref('quickbooks_invoice_transactions')}}
  union all
  select * from {{ref('quickbooks_purchase_transactions')}}
  union all
  select * from {{ref('quickbooks_journal_transactions')}}
  union all
  select * from {{ref('quickbooks_deposit_transactions')}}
  union all
  select * from {{ref('quickbooks_payment_transactions')}}
), accounts as (
  select * from {{ref('quickbooks_accounts_xf')}}
)
select
  unioned.*,
  case
    when accounts.account_type = unioned.transaction_type
      then amount
    else
      amount * -1
  end as adj_amount
from unioned
  inner join accounts on unioned.account_id = accounts.id

Simplify your Amazon Redshift migration

When it comes to replicating your data to Amazon Redshift, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

All your data, where you need it

Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.

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Asset analysis tools
Analyzing our data in SQL has unlocked business analytics at Vero. We can customize and collaborate on our analyses, join across data sources, and produce reports that actually get used. Stitch makes all that possible by loading our data into Amazon Redshift.

Chris Hexton

Co-Founder, Vero

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