Zuar Runner Integrations: QuickBooks

Automate the collection of QuickBooks data, combine it with data from hundreds of other potential sources, and transport it to the data warehouse of your choosing.

QuickBooks ELT Pipeline Schedule a Free Demo

Push Your QuickBooks Data to Wherever
You Store Your Analytics Data

Zuar Runner Data Staging Platform

Zuar Runner is an automated end-to-end data pipeline solution that stages data for analytics. Easily integrate data from any data source or API into a database and prepare it for analysis. We set up everything for you as a service, in the cloud or on-premise.

Learn More About Zuar Runner
Data Pipeline Diagram

Benefits of Using Zuar Runner + QuickBooks

quickbooks connector data sources
Port Both Standard and Custom Fields

Not only can Zuar Runner port basic fields such as accounts, bills, budgets, etc., it can also port any custom fields your organization has created.

Make Your QuickBooks Data Easier to Understand

QuickBooks data is exported in a format that is often difficult to understand. Use Zuar Runner to automate the process of formatting the data in a way that's useable.

Get Your Data Faster

Zuar Runner is able to decrease the number of API calls that need to be made, making it quicker and more efficient to get the data you need. We also have a variety of pre-built connectors for rapid deployment.

Learn what other benefits Zuar Runner can bring to your data pipeline by can bring to your data pipeline by scheduling a free consultation today!

"[Zuar Runner] is the best data integration tool that exists"

Mike Forde, Founder/CEO, Positive Insights Consulting

HANDS ON: How Zuar Runner's QuickBooks Integration Works

  • 1. Select QuickBooks and a destination database.
  • 2. Use Zuar Runner to choose specific metrics and dimensions, or transform the data with SQL. Add contextual information to help with analysis. Pivot, aggregate, pre-calculate and create new tables for advanced analytics.
  • 3. Schedule each step of the process for automation and monitor the flow of data with built in alerts.
View Documentation

QuickBooks Connector FAQs

How do I connect QuickBooks to a data pipeline?

To connect QuickBooks to a data pipeline, you would typically use an API to extract data from QuickBooks and then load the data into your desired data pipeline. The API would allow you to fetch the data in a structured format, such as JSON, that can be easily processed by your data pipeline. For a more automated and flexible solution, you can use a third-party tool, such the ELT platform Zuar Runner, to connect to the API.

Can we connect QuickBooks with SQL Server?

Yes, you can connect QuickBooks with SQL Server by using a tool such as the QuickBooks Connector for BI. This tool allows you to query QuickBooks data using SQL, providing a bridge between the two systems. You can also use a variety of other tools and techniques, such as data migration or data integration platforms, such as Zuar’s ELT platform Zuar Runner, to connect QuickBooks with SQL Server and move data between the two systems.

Is QuickBooks a server or a database?

QuickBooks is a database management system. It is a type of NoSQL database that provides a document-based data model, rather than using tables and rows as in traditional relational databases. QuickBooks stores data in flexible, JSON-like documents, making it easier to work with complex and hierarchical data. While it can be run as a standalone server, QuickBooks is also often used in cloud-based and other distributed architectures.

How do you query data from QuickBooks?

Data in QuickBooks can be queried using the QuickBooks query language, which uses a syntax similar to JSON. Queries can be constructed to select data based on specific criteria, such as matching certain values or conditions. The results of a query can be filtered and transformed, and can be returned in a variety of formats, including documents, arrays, or specific fields within documents.

How does QuickBooks store and access data?

QuickBooks stores data as documents within collections, with each document being a set of key-value pairs and a unique identifier. It uses a dynamic schema, allowing documents within the same collection to have varying fields and data types. Data can be retrieved using queries based on specific conditions, and results can be transformed and returned in different formats.

Get all of your questions answered, start a free trial, perhaps make a new friend.

Talk with a data specialist