Integrate the Dialpad API with the Snowflake API

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

Popular Ways to Connect Dialpad with Snowflake#

Insert Multiple Rows with Snowflake API on New Call Event (Instant) from Dialpad API

Dialpad + Snowflake

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Insert Multiple Rows with Snowflake API on New Contact Event (Instant) from Dialpad API

Dialpad + Snowflake

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Insert Multiple Rows with Snowflake API on New SMS Event (Instant) from Dialpad API

Dialpad + Snowflake

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Insert Multiple Rows with Snowflake API on Update Contact Event (Instant) from Dialpad API

Dialpad + Snowflake

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Insert Row with Snowflake API on New Call Event (Instant) from Dialpad API

Dialpad + Snowflake

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Popular Dialpad and Snowflake Triggers#

New Call Event (Instant) from the Dialpad API

Emit new call event subscription. See Event doc and webhook doc

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New Row from the Snowflake API

Emit new event when a row is added to a table

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New Contact Event (Instant) from the Dialpad API

Emit new contact event subscription. See Event doc and webhook doc

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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 SMS Event (Instant) from the Dialpad API

Emit new SMS event subscription. See Event doc and webhook doc

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Popular Dialpad and Snowflake Actions#

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Dialpad#

The Dialpad API taps into the core of Dialpad's communication platform, allowing for the automation of voice and messaging workflows. By leveraging this API through Pipedream, you can interact with call data, manage users, and automate sending of SMS messages, among other tasks. This enables the creation of intricate, automated processes that can enhance business communication efficiency, customer support, and team collaboration within your organization.

Connect Dialpad#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dialpad: {
      type: "app",
      app: "dialpad",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://dialpad.com/api/v2/users/me`,
      headers: {
        Authorization: `Bearer ${this.dialpad.$auth.oauth_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 { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})