Integrate the Plivo API with the Snowflake API

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

Popular Ways to Connect Plivo with Snowflake#

Make A Call with Plivo API on New Row from Snowflake API

Snowflake + Plivo

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Plays An Audio with Plivo API on New Row from Snowflake API

Snowflake + Plivo

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Send MMS with Plivo API on New Row from Snowflake API

Snowflake + Plivo

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Send SMS with Plivo API on New Row from Snowflake API

Snowflake + Plivo

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Speak Text with Plivo API on New Row from Snowflake API

Snowflake + Plivo

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Popular Plivo 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 Completed Call from the Plivo API

Emit new event when a call is completed. See the docs.

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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 Received (Instant) from the Plivo API

Emit new event when a new SMS is received. See the docs.

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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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Popular Plivo and Snowflake Actions#

Make A Call with the Plivo API

Makes a call. See the docs.

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Plays An Audio with the Plivo API

Plays audio on a call. See the docs.

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Send MMS with the Plivo API

Sends an MMS message to a phone number. See the docs.

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Plivo#

The Plivo API taps into the power of cloud communication, allowing you to programmatically send SMS messages, make voice calls, and manage user verifications among other telephony functions. With Pipedream's serverless platform, you can easily integrate Plivo into workflows that automate these communication tasks, react to incoming messages or calls, and connect with numerous other apps for comprehensive automation solutions.

Connect Plivo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    plivo: {
      type: "app",
      app: "plivo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.plivo.com/v1/Account/${this.plivo.$auth.auth_id}/Message/`,
      auth: {
        username: `${this.plivo.$auth.auth_id}`,
        password: `${this.plivo.$auth.auth_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
  },
})