Google BigQuery AI Employee | Viktor
Google BigQuery AI employee
Viktor is an AI employee that connects to Google BigQuery and helps you query and maintain application databases, running 62 Google BigQuery actions for you like Query, Get BigQuery Job, and List BigQuery Jobs. Ask in plain English from your workspace; Viktor does the work in Google BigQuery and reports back. Viktor connects in one click via OAuth.
What is a Google BigQuery AI agent?
A Google BigQuery AI agent is an AI that connects to your Google BigQuery account and completes work in it - it doesn't just answer questions about Google BigQuery, it takes the actions. Viktor is an AI employee that works in Google BigQuery on your behalf and delivers the finished result to your workspace.
Unlike workflow builders such as Zapier or Make, there is nothing to configure - no triggers to map, no workflows to maintain. You describe the outcome in plain English, and Viktor picks the right Google BigQuery actions, chains them with the other 3,200+ tools it connects to, and asks for approval before anything sensitive runs.
About Google BigQuery
Google BigQuery is a fully managed data warehouse for large-scale data analytics, offering fast SQL queries and machine learning capabilities on massive datasets
You ask in your workspace
Describe what you need in plain English
Viktor picks the actions
Selects from 62 Google BigQuery actions, chains them together
Runs in Google BigQuery
Helps you query and maintain application databases - your real data.
- Reports back
Delivers the finished result to your workspace
What can you ask Viktor to do in Google BigQuery?
Messages you'd actually send. Paste one into your workspace, swap in your specifics, and Viktor takes it from there.
- "Query Google BigQuery for last month's signups and summarize the trend."
- "Check Google BigQuery for slow queries this week and flag the worst offenders."
- "Sync new records from Google BigQuery into a sheet every morning."
- "Watch Google BigQuery for a spike in errors and alert me with the likely cause."
How does Viktor work with Google BigQuery?
Step 1: Connect your stack
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
Step 2: Tell Viktor what you need
Message Viktor in Slack like you'd message a teammate. "Reconcile this month's invoices and flag anything weird." "Pause Meta campaigns above $40 CPA and move the budget to winners." Plain English, any tool.
Step 3: Viktor operates, you review
Viktor opens the tools, runs the work, and posts back what changed. Sensitive actions wait for your approval. Everything is logged. You stop doing the work and start reviewing it.
What can Viktor do in Google BigQuery?
Ask in plain English from your workspace. Viktor picks the right Google BigQuery actions, runs the work, and reports back. No workflows to build.
Cancel BigQuery Job
Tool to cancel a running BigQuery job. This call returns immediately, and you need to poll for the job status to see if the cancel completed successfully. Note that cancelled jobs may still incur costs.
Create Capacity Commitment
Tool to create a new capacity commitment resource in BigQuery Reservation. Use when you need to purchase compute capacity (slots) with a committed period of usage for BigQuery jobs. Supports various commitment plans (FLEX, MONTHLY, ANNUAL, THREEYEAR) and editions (STANDARD, ENTERPRISE, ENTERPRISEPLUS).
Create BigQuery Connection
Tool to create a new BigQuery connection to external data sources using the BigQuery Connection API. Use when setting up connections to AWS, Azure, Cloud Spanner, Cloud SQL, Salesforce DataCloud, or Apache Spark.
Create Analytics Hub Data Exchange
Tool to create a new Analytics Hub data exchange for sharing BigQuery datasets. Use when you need to set up a container for data sharing with descriptive information and listings.
Create BigQuery Dataset
Tool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API. Use when the workflow needs to set up a staging/warehouse dataset and correctness of region is critical to avoid downstream job location mismatches. Surfaces 409 Already Exists errors cleanly without retrying.
Google BigQuery integration FAQ
Does Viktor integrate with Google BigQuery?
Yes. Google BigQuery is one of the 3,200+ tools Viktor connects to, via a managed connector. Once connected, anyone on your team can put Viktor to work in Google BigQuery from their workspace - no workflow builder, no code.