
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.
Viktor works in Snowflake for you. Ask in Slack or Microsoft Teams.
Viktor is an AI employee that connects to Snowflake and helps you query and maintain application databases, running 9 Snowflake actions for you like Start SQL Session, Insert Single Row, and Execute SQL Query. Ask in plain English from your workspace; Viktor does the work in Snowflake and reports back. Viktor connects with an API key.
Viktor connects to your Snowflake account and completes work in it. He doesn't just answer questions about Snowflake, 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 Snowflake actions, chains them with the other 9,800+ tools he connects to, and asks for approval before anything sensitive runs.
About Snowflake
A data warehouse built for the cloud
Message Viktor in a Slack channel, a Microsoft Teams chat or a direct message. He opens Snowflake, does the work and posts the result in the same thread, so nobody has to switch tabs.
He can also run Snowflake work on a schedule, like a weekly Snowflake summary posted to your team's channel. Anything sensitive waits for your approval before it runs.
Viktor is not affiliated with or endorsed by Snowflake.
You ask in your workspace
Describe what you need in plain English
Viktor picks the actions
Selects from 9 Snowflake actions, chains them together
Runs in Snowflake
Helps you query and maintain application databases - your real data.
Reports back
Delivers the finished result to your workspace
Messages you'd actually send. Paste one into your workspace, swap in your specifics, and Viktor takes it from there.
“Query Snowflake for last month's signups and summarize the trend.”
— you, to @Viktor
“Check Snowflake for slow queries this week and flag the worst offenders.”
— you, to @Viktor
“Sync new records from Snowflake into a sheet every morning.”
— you, to @Viktor
“Watch Snowflake for a spike in errors and alert me with the likely cause.”
— you, to @Viktor

27+ native integrations plus 9,800+ tools via managed connectors. Mostly one-click OAuth, a few API keys. No webhooks, no Zapier zaps.
Message Viktor like a teammate: "Pull this week's MRR from Stripe." "Triage new Linear bugs." "Pause Meta ads over $40 CPA." Any tool.
Viktor opens the tools, runs the work, and posts back exactly what changed. Sensitive actions wait for your approval. It’s all logged.
Ask in plain English from your workspace. Viktor picks the right Snowflake actions, runs the work, and reports back. No workflows to build.
Start a Snowflake session and return it in serialized form, so subsequent Snowflake actions can run in the same session (preserving temporary tables, USE context, and session parameters) by passing it to their Session prop. The returned value contains session auth tokens — treat it as sensitive. Sessions expire server-side after ~4 hours or your account's idle timeout.
Retrieves available options for the Warehouse Name field.
Retrieves available options for the User Name field.
Retrieves available options for the Database field.
Insert a row into a table.
Insert multiple rows into a table.
Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.
Execute a Snowflake query inside a session started by the Start SQL Session action, so it shares that session's state — temporary tables, USE context, and session parameters — with the other queries in the same session. Pass the serialized session from Start SQL Session to the Session prop. Note: to preserve the session this query runs on a direct connection and therefore does NOT egress from the shared static IP (usepdsqlproxy); if your Snowflake network policy allowlists only the static IP, use Execute SQL Query instead. See our docs to learn more about working with SQL in Pipedream.
Execute a SQL Query. See our docs to learn more about working with SQL in Pipedream.
Ask for outcomes that span tools - Viktor pulls from Snowflake, cross-references the rest of your stack, and delivers one finished result.
Yes. Snowflake is one of the 9,800+ tools Viktor connects to, with an API key. Once connected, anyone on your team can put Viktor to work in Snowflake from their workspace - no workflow builder, no code.
Ask Viktor in your workspace to connect Snowflake, then paste an API key from your Snowflake account when prompted. Viktor stores the key encrypted, uses it only for the actions you ask for, and you can revoke it at any time. Setup takes about two minutes.
Viktor can run 9 Snowflake actions, including Start SQL Session, Insert Single Row, and Execute SQL Query - 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 Snowflake actions to take, runs them, and reports back.
Start free. Viktor delivers.
Start for free today. No credit card required.