QuickBooks to Snowflake Data Migration: 3 Easy Methods

Intuit Inc.’s QuickBooks accounting software is intended to help small businesses handle their payroll, inventory, sales, and other accounting requirements. It offers a wide range of accounting capabilities, is reasonably priced, and is utilized by thousands of small businesses.

QuickBooks to Snowflake Data Migration

A state-of-the-art data platform that is provided as Software-as-a-Service (SaaS) is the foundation of Snowflake’s Data Cloud. Compared to conventional solutions, Snowflake offers data processing, storage, and analytics solutions that are quicker, more user-friendly, and more adaptable.

In today’s article, we will talk about the various methods to link QuickBooks to Snowflake successfully. Add to it, we will also briefly discuss QuickBooks and Snowflake.

What is QuickBooks Accounting Software?

Intuit QuickBooks

With facilities for accounting, inventory, payroll, tax filing, invoicing, bank account tracking and reconciliation, expense management, budgeting, payment processing, and accounts receivable and payable management, QuickBooks is a feature-rich software suite for companies that financial administration.

For creating spreadsheets, business plans, invoices, and graphs, QuickBooks offers pre-made templates. It can also save business owners time and effort by automating check signings. QuickBooks has many benefits when it comes to connecting with other programs. It has an easy-to-use interface that guides users through all of its features.

What are the Key Characteristics of QuickBooks?

Here are the list of the key features of the accounting software QuickBooks:

  • You can quickly build and personalize reports to see how your business is doing.
  • All of your data is stored in one location and is easily retrievable from QuickBooks when needed. The accountant will have access to all transactional data and bank statements, facilitating a clear and precise tax filing process.
  • QuickBooks is a dependable, dependable, and well-established product. Throughout the world, hundreds of thousands of small businesses utilize the QuickBooks accounting software. With so many users, a software program cannot go wrong.
  • You can email an invoice or statement to your customers and give them the opportunity to pay you with a credit card or bank transfer through the QuickBooks Online Payment System, which speeds up the payment process. You can even find out if they have actually viewed the invoice
  • QuickBooks saves time on bookkeeping and paperwork by automating simple tasks
  • QuickBooks can be afforded by businesses of any size. From a sole proprietorship to a USD 30 million enterprise, anyone can afford it. Without a doubt, this Accounting software is among the greatest business deals available at present
  • QuickBooks facilitates online bill payment. After you set up your current bank account, you won’t need any envelopes, stamps, or paper checks
  • QuickBooks is flexible and adaptable to a wide range of enterprises because it can be modified to one’s needs and preferences
  • QuickBooks boasts over 700 connectors that guarantee seamless workflows and processes and, as a result, streamline business operations
  • Since QuickBooks Payroll Service and QuickBooks are connected, you can examine all relevant data while filing your taxes plus all of your transactions are updated

What is Snowflake?

Data warehousing, data lakes, data engineering, data science, data application development, and the safe-sharing and consumption of real-time/shared data are all combined into one platform. This particular platform is called Snowflake and it is a fully-managed software as a service provider.

Snowflake comes with out-of-the-box capabilities including Storage and Compute Separation, On-the-fly Scalable Compute, Data Sharing, Data Cloning, and third-party Tool Support to satisfy the rising needs of expanding enterprises.

Snowflake does not rely on any of the currently available database systems or “Big Data” software platforms, such as Hadoop. On the other hand, it blends state-of-the-art Cloud Architecture with a novel SQL query engine. Aside from offering much more, Snowflake provides users with all the tools and functionalities of an enterprise analytic database.

What are the Key Characteristics of Snowflake?

Here is a list of the key characteristics of Snowflake as a SaaS solution:

  • Snowflake delivers results from the cache quickly by utilizing the Caching Paradigm. Snowflake uses Persistent (during the session) Query results to prevent regenerating the report when nothing has changed.
  • You can examine customer behavior and product usage more thoroughly with Snowflake. The full range of data can also be utilized to guarantee customer satisfaction, significantly enhance product offerings, and promote innovation in data science.
  • By switching from nightly batch loads to real-time data streams, Snowflake helps you optimize your analytics pipeline and increase both the speed and quality of your analytics. You may raise the caliber of analytics at your business by granting everyone in your organization secure, concurrent, and monitoring access to your data warehouse.
  • Snowflake enables you to eliminate silos and guarantee that everyone in the organization has access to insightful information, which improves data-driven decision-making. In order to improve partner relationships, optimize pricing, reduce operating costs, boost sales effectiveness, and other goals, this is an essential step.
  • With Snowflake, you may establish your own secure data exchange that enables real-time, managed data communication. Additionally, it motivates you to enhance data interactions with partners, customers, and other business divisions.

Why Integrate QuickBooks to Snowflake?

Integration of QuickBooks with Snowflake offers several advantages. Data from QuickBooks can be utilized to optimize marketing budgets, decrease payment defaulters, minimize losses from inaccurate tax filings or tax claims, and increase inventory budget allocations. Distinct data silos need separate sheets to be downloaded from several sources to prepare comprehensive reports.

To build a complete overview of the entire company, it is therefore essential to thoroughly examine all of the inventory data, customer feedback, customer behavior, and payment gateway data. Based on this knowledge of the areas that require improvement, decision-makers would next take action to further optimize processes. It would take a lot of time and effort to manually complete the QuickBooks to Snowflake procedure, and the analysis would be inaccurate. As a result, businesses lose out on possible sales opportunities.

How to Perform QuickBooks to Snowflake Data Migration?

Here is the custom method to shift data from QuickBooks to Snowflake:

Step 1: Use Your Data on QuickBooks

The first step is to use the web API to access and extract your QuickBooks data to Snowflake.

Since QuickBooks has undergone such considerable development, its API is incredibly straightforward and robust. The following basic resource categories form the foundation of the API:

  • Name List Resources
  • Supporting Resources
  • Transaction Resources
  • Report Resources

Report resources contain all of the reports that QuickBooks further offers through the application’s interface. It is important to note that the API has a different data model than the other resources and should be considered while extracting data from it.

All of the entities that QuickBooks might possibly specify are included in the remaining resources; each has a distinct data model that has been serialized in JSON.

Apart from the previously mentioned points, the following should be kept in mind when utilizing an API, like the one offered by QuickBooks:

  • Authentication: Authenticate on QuickBooks with the help of an API key
  • Rate Limits: Every API has a few rate limitations which must be followed
  • Paging and Handling High Volume of Data: Because accounting and financial transactions entail a variety of possible outcomes, platforms like as QuickBooks frequently generate a large amount of data. Large-scale data extraction from an API may be difficult, particularly if you consider and abide by any rate restrictions the API may have.

Step 2: Convert and Create Your Data

  • The next step is to transform and prepare the data for the QuickBooks to Snowflake integration. Two key factors need to be taken into account when transforming the QuickBooks data you have accessed:
    • The type of analysis you want to perform
    • The database limitations that will be implemented
  • Specific limitations apply to the available data types and data structures for each system. If you wish to push data into Google BigQuery, you may send nested data-like JSON-directly to it. When working with tabular data storage, such as Microsoft SQL Server, this isn’t an option. Rather, you must flatten out your data before putting it into a database.
  • You also need to select the relevant data kinds. Once again, the choices you make will depend on the system you use to deliver data and the kinds of data the API exposes to you. These choices are important because they can limit how expressive your queries can be and what your analysts can do straight out of the database.
  • Because of QuickBooks’ incredibly extensive data schema, a lot of the resources you can access might need to be flattened out and moved into many tables.
  • Furthermore, QuickBooks offers a special set of tools known as reports. These resources are organized in a tabular, hierarchical fashion that is similar to an advanced spreadsheet. To make these reports compatible with a database data model, you must rework, parse, and convert them into a tabular format that can be kept in a database.
  • The data in Snowflake DB is organized into tables that have a discrete collection of columns, each containing a different sort of data.
  • Snowflake supports a large number of data types. Notably, a number of semi-structured data types are also supported. Data in the formats of JSON, Avro, ORC, Parquet, or XML can be easily loaded into Snowflake. Hierarchical data is handled as a first-class citizen, much like Google BigQuery.
  • Snowflake also does not support a widely used data type. Large object, or LOB, data types are not supported. As an alternative, use a VARCHAR or BINARY type. In use cases requiring data warehouses, these types are not very helpful, though.
  • A common method for loading data from QuickBooks to Snowflake is to create a schema where you will connect each API endpoint to a table.
  • In the QuickBooks API endpoint response, map each key for the Snowflake integration to a table column. Ensure that the conversion to the correct Snowflake DB data type is performed.
  • Obviously, since the data types returned by the QuickBooks API are subject to change, you need to ensure that your database tables are updated. There isn’t any automatic data type casting.
  • After you have a thorough and well-defined data model or schema for Snowflake DB, you can move forward and start adding data to it.

Step 3: Load Data to Snowflake from QuickBooks

Commands are used to load data from QuickBooks into Snowflake. JSON-formatted data files are stored in Amazon S3 buckets or on a local file system. When loading data into Snowflake DB in bulk, the COPY INTO command is usually utilized. The COPY INTO command for the Snowflake DB instance is then used to copy data into the data warehouse.

The files can be pushed from QuickBooks to Snowflake using the PUT command in a staging environment prior to utilizing the COPY command.

Another choice is to upload data directly to a platform such as Amazon S3, which allows Snowflake to access the data immediately.

Step 4: Updating QuickBooks Data on Snowflake

Since you will be adding more data to QuickBooks, you will need to update your older data on Snowflake DB. This covers both recently made records and records that have been updated in QuickBooks for any reason in the past.

You will need to repeat the earlier procedures in order to regularly check QuickBooks for updated data, and update the existing data as needed. In a Snowflake DB table, UPDATE commands are used to update an existing record.

Dealing with duplicate records in your database involves locating and eliminating them. You might add duplicate records to your database because QuickBooks doesn’t have a way to distinguish between modified and new records, or because there are mistakes in your data pipelines.

As a general rule, making sure the data entered into your database is of high quality is a serious and difficult problem.


In today’s article, we have given a comprehensive overview of what QuickBooks accounting software is and what Snowflake software as a service is. We also talked about how to connect Snowflake to QuickBooks with the help of some easy steps.

Accounting Professionals, CPA, Enterprises, Owners
Accounting Professionals

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