Integrate the Vercel API with the Snowflake API

Setup the Vercel API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Vercel and Snowflake remarkably fast. Free for developers.

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Popular Ways to Connect Vercel with Snowflake#

Cancel Deployment with Vercel (Token Auth) API on New Row from Snowflake API

Snowflake + Vercel

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Create Deployment with Vercel (Token Auth) API on New Row from Snowflake API

Snowflake + Vercel

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List Deployments with Vercel (Token Auth) API on New Row from Snowflake API

Snowflake + Vercel

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Cancel Deployment with Vercel (Token Auth) API on New Query Results from Snowflake API

Snowflake + Vercel

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Create Deployment with Vercel (Token Auth) API on New Query Results from Snowflake API

Snowflake + Vercel

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Popular Vercel and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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New Deployment from the Vercel API

Emit new event when a deployment is created

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Vercel and Snowflake Actions#

Cancel Deployment with the Vercel API

Cancel a deployment which is currently building. See the docs

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Create Deployment with the Vercel API

Create a new deployment from a GitHub repository. See the docs

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List Deployments with the Vercel API

List deployments under the account corresponding to the API token. See the docs

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of Vercel#

The Vercel API empowers developers to automate, manage, and interact with their Vercel projects and deployments directly through code. With the Vercel API on Pipedream, you can harness the power of serverless functions to create dynamic and responsive workflows. Automate deployment processes, sync deployment statuses with other tools, trigger notifications based on deployment events, or manage your domains and aliases—all within the seamless integration landscape of Pipedream.

Connect Vercel#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vercel_token_auth: {
      type: "app",
      app: "vercel_token_auth",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.vercel.com/www/user`,
      headers: {
        Authorization: `Bearer ${this.vercel_token_auth.$auth.personal_access_token}`,
      },
    })
  },
})

Overview of Snowflake#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake#

import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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