Integrate the TeamGantt API with the Snowflake API

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

Popular Ways to Connect TeamGantt with Snowflake#

Create Task with TeamGantt API on New Row from Snowflake API

Snowflake + TeamGantt

Try it

Update Task with TeamGantt API on New Row from Snowflake API

Snowflake + TeamGantt

Try it

Create Task with TeamGantt API on New Query Results from Snowflake API

Snowflake + TeamGantt

Try it

Update Task with TeamGantt API on New Query Results from Snowflake API

Snowflake + TeamGantt

Try it

Create Task with TeamGantt API on Failed Task in Schema from Snowflake API

Snowflake + TeamGantt

Try it

Popular TeamGantt and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

Try it

New Comment Added from the TeamGantt API

Emit new event when a new comment is created.

Try it

New Query Results from the Snowflake API

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

Try it

Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

Try it

New Database from the Snowflake API

Emit new event when a database is created

Try it

Popular TeamGantt and Snowflake Actions#

Create Task with the TeamGantt API

Creates a new task within a specific project. See the documentation

Try it

Update Task with the TeamGantt API

Updates a specific task. See the documentation

Try it

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

Try it

Insert Single Row with the Snowflake API

Insert a row into a table

Try it

Overview of TeamGantt#

The TeamGantt API allows you to interact programmatically with your TeamGantt project management data. With it, you can create, read, update, and delete various project elements, such as tasks, milestones, and time entries. Integrating the TeamGantt API with Pipedream enables you to automate your project workflows, sync data across platforms, and react to events in real-time. By leveraging Pipedream's capabilities, you can connect TeamGantt to a myriad of other apps and services to streamline your project management processes.

Connect TeamGantt#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teamgantt: {
      type: "app",
      app: "teamgantt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.teamgantt.com/v1/current_user`,
      headers: {
        Authorization: `Bearer ${this.teamgantt.$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
  },
})