Live Query
Live Query is an Alteryx capability that lets you analyze and transform data directly inside your cloud data platform. It helps teams move faster and reduce risk by eliminating unnecessary data movement.
Live Query is an Alteryx capability that lets you analyze and transform data directly inside your cloud data platform. It helps teams move faster and reduce risk by eliminating unnecessary data movement.
Live Query brings visual, governed analytics to the cloud data platforms you already run such as Snowflake, BigQuery, and Databricks so teams can build and preview transformations without leaving their warehouse.
Run analysis and transformations directly inside your cloud data platform, cutting down on data replication or downloads into Alteryx-managed systems.
Create workflows like revenue adjustments and regional allocations with drag-and-drop tools. Workflows are discoverable, visual, and auditable. The CDP owns the compute, Alteryx owns the business process.
Work directly against your entire dataset in real time while you build, instead of relying on a sample, so what you see at design time matches production.
Live Query executes using your cloud data platform’s own compute and scale, aligning analytics with infrastructure your team is already investing in — no separate engine to manage.
Live Query turns warehouse compute you already pay for into a governed source of business value.
Analyzing data in place avoids the storage and compute costs of duplicating it across systems.
Real-time preview against full datasets lets teams catch issues immediately instead of waiting on sampled results.
Turning ad hoc SQL into visual, auditable workflows makes business logic easier to review and trust.
Keeping data in the warehouse limits how many copies of sensitive data exist across systems.
Organizations use Live Query to modernize SQL-based analytics without moving data out of their warehouse.
What stood out to me about Alteryx One: Google Edition was how naturally it fits into the Google Cloud experience. I'm excited about the opportunity to make analytics more accessible by enabling business users to work with BigQuery data through an intuitive, governed experience.
Here’s a simplified look at how Live Query fits into your existing analytics workflow.
Link Live Query to your existing cloud data platform account. There is no new infrastructure to stand up.
Design transformations visually on your full dataset, with real-time preview instead of a sample.
Live Query runs your logic using your data platform’s native compute, so processing stays where the data lives.
Save transformations as discoverable, auditable workflows your team can review and maintain over time.
Live Query is an Alteryx capability that lets you analyze and transform data directly inside your cloud data platform including Snowflake, BigQuery, and Databricks without replicating or downloading it into Alteryx-managed systems. It pairs visual workflow building with your warehouse’s own compute, so business logic stays close to the data it works on.
Live Query reduces unnecessary data movement, lowers the storage and compute costs of duplicating data, and lets teams preview transformations against their entire dataset in real time rather than a sample. Users that don’t know SQL can use visual, auditable workflows to query the DB. Workflows persist so they are easier to govern and maintain.
Live Query connects directly to cloud data platforms like Snowflake, BigQuery, and Databricks, running on their existing compute rather than requiring a separate processing environment. This lets teams keep their current data infrastructure and governance model in place while adding visual, discoverable analytics on top.
Live Query is built for data and analytics teams running significant workloads in a cloud data platform who want to make SQL-based business logic like revenue adjustments or regional allocations more visible, auditable, and easy for others on the team to maintain. This could be any user ex. Finance, sales, operations, marketing, or any department using data housed in a cloud data platform.