Integrate the Tick API with the Snowflake API

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

Popular Ways to Connect Tick with Snowflake#

Create Client with Tick API on New Row from Snowflake API

Snowflake + Tick

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Create Project with Tick API on New Row from Snowflake API

Snowflake + Tick

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Create Task with Tick API on New Row from Snowflake API

Snowflake + Tick

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Create Time Entry with Tick API on New Row from Snowflake API

Snowflake + Tick

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Create User with Tick API on New Row from Snowflake API

Snowflake + Tick

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Popular Tick 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 Client from the Tick API

Emit new event on each created client.

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Tick and Snowflake Actions#

Create Client with the Tick API

Creates a client. See docs here

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Create Project with the Tick API

Creates a project. See docs here

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Create Task with the Tick API

Creates a task. See docs here

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Create Time Entry with the Tick API

Creates a time entry. See docs here

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of Tick#

Tick is a time tracking and project management tool designed to help teams keep track of time spent on various tasks and projects. With the Tick API, you can automate project time entries, generate reports, and sync time data with other tools. Specifically, when you plug the Tick API into Pipedream, you leverage serverless workflows to connect Tick with hundreds of other apps. You can automate time tracking, streamline project updates, and trigger actions based on time entry events.

Connect Tick#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tick: {
      type: "app",
      app: "tick",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.tickspot.com/${this.tick.$auth.subscription_id}/api/v2/users.json`,
      headers: {
        "Authorization": `Token token=${this.tick.$auth.api_token}`,
        "User-Agent": `MyCoolApp (${this.tick.$auth.email})`,
      },
    })
  },
})

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
  },
})