Integrate the Trengo API with the Snowflake API

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

Popular Ways to Connect Trengo with Snowflake#

Create Contact with Trengo API on New Row from Snowflake API

Snowflake + Trengo

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Find Contacts with Trengo API on New Row from Snowflake API

Snowflake + Trengo

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Log A Voice Call with Trengo API on New Row from Snowflake API

Snowflake + Trengo

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Send A Message with Trengo API on New Row from Snowflake API

Snowflake + Trengo

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Send A Team Chat Message with Trengo API on New Row from Snowflake API

Snowflake + Trengo

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Popular Trengo 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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Inbound Message Event from the Trengo API

Emit new events when an inbound message received. See the docs here

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New Internal Note Event from the Trengo API

Emit new events when a internal note added. See the docs here

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Popular Trengo and Snowflake Actions#

Create Contact with the Trengo API

Creates a contact. If a contact with given identifier already exists, returns it. See the docs

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Find Contacts with the Trengo API

Finds contacts with the given term. See the docs

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Log A Voice Call with the Trengo API

Logs a phone call from external VOIP applications, See the docs

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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 Trengo#

The Trengo API provides programmatic access to Trengo's multi-channel communication platform, allowing for the streamlining of customer interactions across various channels such as email, SMS, social media, and chat. By leveraging the Trengo API on Pipedream, you can automate customer support workflows, sync communication data with CRM systems, and trigger alerts or actions based on specific customer queries or events.

Connect Trengo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trengo: {
      type: "app",
      app: "trengo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.trengo.eu/api/v2/users`,
      headers: {
        Authorization: `Bearer ${this.trengo.$auth.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
  },
})