Step 1: Connect your stack
27+ native integrations plus 9,800+ tools via managed connectors. Mostly one-click OAuth, a few API keys. No webhooks, no Zapier zaps.
Google BigQuery AI employee
Viktor works in Google BigQuery for you. Ask in Slack or Microsoft Teams.
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 with Sign in with Google.
Works in Slack & Microsoft Teams
What can your AI employee do in Google BigQuery?
Viktor connects to your Google BigQuery account and completes work in it. He doesn't just answer questions about Google BigQuery, he takes the actions 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 9,800+ tools he 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
Use Google BigQuery from Slack and Microsoft Teams
Message Viktor in a Slack channel, a Microsoft Teams chat or a direct message. He opens Google BigQuery, does the work and posts the result in the same thread, so nobody has to switch tabs.
He can also run Google BigQuery work on a schedule, like a weekly Google BigQuery summary posted to your team's channel. Anything sensitive waits for your approval before it runs.
Viktor is not affiliated with or endorsed by Google BigQuery.
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.
Viktor11:33 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 like a teammate: "Pull this week's MRR from Stripe." "Triage new Linear bugs." "Pause Meta ads over $40 CPA." Any tool.
Viktor9:12 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 does the work, you review
Viktor opens the tools, runs the work, and posts back exactly what changed. Sensitive actions wait for your approval. It’s all logged.
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 9,800+ tools and works across them in a single run.
Trusted by 78,000+ teams
The moment Viktor becomes part of the team.
Google BigQuery integration FAQ
Yes. Google BigQuery is one of the 9,800+ tools Viktor connects to, with Sign in with Google. Once connected, anyone on your team can put Viktor to work in Google BigQuery from their workspace - no workflow builder, no code.
Ask Viktor in your workspace to connect Google BigQuery, then pick your Google account in the Sign in with Google prompt and approve access. Viktor never sees your password, handles authentication itself, and starts working right away. Setup takes about two minutes, and you can revoke access at any time from your Google account.
Viktor can run 62 Google BigQuery actions, including Query, Get BigQuery Job, and List BigQuery Jobs - and chain them with other tools in a single request. In practice that means Viktor helps you query and maintain application databases. If a task spans several actions, Viktor plans the sequence itself and reports back when the work is done.
No. Viktor isn't a workflow builder - there are no triggers to map and nothing to maintain. You ask for the outcome in plain English in your workspace, and Viktor decides which Google BigQuery actions to take, runs them, and reports back.
4.9 on G2G2 rating: 4.9 out of 5 stars
Start free. Viktor delivers.
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