Alteryx Released Live Query for Google Cloud BigQuery

The new tool automates invoice processing and data transformation using Google Cloud infrastructure.

Updated on Oct. 12, 2026 in Artificial Intelligence

Alteryx Released Live Query for Google Cloud BigQuery

Live Poll

Do you trust automated AI systems to accurately manage your company's financial records and invoices?

Alteryx has introduced a new Live Query feature specifically designed for Google Cloud BigQuery. The software enables finance and operations teams to automate the extraction and categorization of unstructured PDF invoice data.

Why it matters

By utilizing SQL pushdown, the system reduces the need for moving large volumes of data between extraction software and storage warehouses. This integration streamlines workflows for teams managing high-frequency invoice processing.

The architecture utilizes a three-layer system comprising browser authoring, platform services, and Google Cloud execution. It leverages Gemini or Document AI for field extraction and uses SQL pushdown to perform transformations directly in BigQuery.

The players

Alteryx

Alteryx is a software company that provides a platform for data analytics and process automation.

Google Cloud BigQuery

Google Cloud BigQuery is a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data.

Gemini

Gemini is a family of multimodal artificial intelligence models developed by Google.

The details

Users can build browser-based workflows to extract data from PDF invoices, standardize the information, and flag exceptions without writing code. The system identifies duplicate entries by comparing new documents against historical data stored in the cloud.

Timeline

  1. Alteryx introduced the Live Query feature on October 12, 2026.

The Tech Race

This integration follows the industry trend of adopting SQL pushdown to enhance data processing efficiency. It reflects a broader shift toward minimizing data movement in cloud-native analytical pipelines to improve speed and security.

Finance and operations teams can expect to reduce manual data entry and coding requirements for processing PDF invoices. By centralizing the workflow, organizations may achieve faster data standardization and more consistent error flagging across their internal systems.

The takeaway

Automating document ingestion with cloud-based AI tools can significantly alleviate the administrative burden on back-office staff. Businesses should evaluate their current invoice volume to determine if cloud-native extraction tools can replace manual spreadsheet management.

Further reading

Learn more about the latest innovations in Artificial Intelligence.

Source note: This article includes information reported by IT Brief Australia.

Live Poll

Do you trust automated AI systems to accurately manage your company's financial records and invoices?