Integrate the Pipefy API with the Snowflake API

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

Popular Ways to Connect Pipefy with Snowflake#

Create Card with Pipefy API on New Row from Snowflake API

Snowflake + Pipefy

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Create Pipe with Pipefy API on New Row from Snowflake API

Snowflake + Pipefy

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Create Table Record with Pipefy API on New Row from Snowflake API

Snowflake + Pipefy

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Delete Card with Pipefy API on New Row from Snowflake API

Snowflake + Pipefy

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Get All Cards with Pipefy API on New Row from Snowflake API

Snowflake + Pipefy

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Popular Pipefy and Snowflake Triggers#

Card Created (Instant) from the Pipefy API

Emits an event for each new card created in a Pipe.

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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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Card Done (Instant) from the Pipefy API

Emits an event each time a card is moved to Done a Pipe.

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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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Card Expired from the Pipefy API

Emits an event each time a card becomes expired in a Pipe.

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Popular Pipefy 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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Create Card with the Pipefy API

Create a new Card in a Pipe. See the docs here

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Create Pipe with the Pipefy API

Creates a pipe. See the docs here

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Create Table Record with the Pipefy API

Creates a new table record. See the docs here

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Overview of Pipefy#

Pipefy is a platform that empowers users to streamline complex processes and workflows without the need for technical skills. With the Pipefy API, you can automate various aspects of your Pipefy environment, such as creating cards, updating fields, and managing pipelines programmatically. Use Pipedream to connect Pipefy with hundreds of other apps and orchestrate workflows that can save time, reduce errors, and enhance efficiency.

Connect Pipefy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipefy: {
      type: "app",
      app: "pipefy",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{ me { name } }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.pipefy.com/graphql`,
      headers: {
        Authorization: `Bearer ${this.pipefy.$auth.token}`,
      },
      data,
    })
  },
})

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
  },
})