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.
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.
Works in Slack & Microsoft Teams
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
Try asking Viktor
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.”
— you, to @Viktor
“Check Google BigQuery for slow queries this week and flag the worst offenders.”
— you, to @Viktor
“Sync new records from Google BigQuery into a sheet every morning.”
— you, to @Viktor
“Watch Google BigQuery for a spike in errors and alert me with the likely cause.”
— you, to @Viktor
How it works
How does Viktor work with Google BigQuery?
Maya Patel11:32 AM
@Viktor check this week's Stripe revenue against HubSpot and flag anything off before the board call.
ViktorApp11:33 AM
On it. Cross-checking Stripe against HubSpot and fixing anything that doesn't line up before your board call.
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.
ViktorApp9:12 AM
📊 Revenue check:
$84,210 (+6.4% WoW).
3 deals didn't match HubSpot.
Fixed 2, one needs your call.
$84,210 (+6.4% WoW).
3 deals didn't match HubSpot.
Fixed 2, one needs your call.
revenue_raport.pdf
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.
Actions
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.
- Other
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.
- Other
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).
- Bigquery Connection
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.
- Analytics Hub
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.
- Analytics Hub
Create Analytics Hub Listing
Tool to create a new listing in a BigQuery Analytics Hub data exchange. Use when you need to share a BigQuery dataset with specific subscribers or make it available for discovery. The dataset must exist and be in the same region as the data exchange.
- Bigquery Dataset
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.
- Bigquery Data
Create BigQuery Data Policy (v2beta1)
Tool to create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API. Use when you need to set up data masking rules or column-level security for sensitive data. The v2beta1 endpoint uses a nested request structure.
- Analytics Hub
Create Analytics Hub Query Template
Tool to create a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange. Use when you need to define predefined and approved queries for data clean room use cases. Query templates must be created in DCR data exchanges only.
- Bigquery Reservation
Create BigQuery Reservation
Tool to create a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs. Use when you need to reserve dedicated compute resources for predictable performance and cost management. Reservations can be configured with autoscaling, concurrency limits, and edition-based features.
Works with your stack
Viktor uses Google BigQuery together with your other tools
Ask for outcomes that span tools - Viktor pulls from Google BigQuery, cross-references the rest of your stack, and delivers one finished result.
Related
More E-Commerce integrations
Viktor connects to 3,200+ tools and works across them in a single run.
Trusted by 50,000+ teams
The moment Viktor becomes part of the team.
Google BigQuery integration FAQ
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.
4.9 on G2G2 rating: 4.9 out of 5 stars
One hire. The output of a team.
Viktor works nights, remembers every decision, and connects to 3,200 tools. Start free with $100 in credits, then $50 a month.