Integrate the Orbit API with the Snowflake API

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

Popular Ways to Connect Orbit with Snowflake#

Create Activity with Orbit API on New Row from Snowflake API

Snowflake + Orbit

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Create Member Note with Orbit API on New Row from Snowflake API

Snowflake + Orbit

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Create Member with Orbit API on New Row from Snowflake API

Snowflake + Orbit

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Get Member by Identity with Orbit API on New Row from Snowflake API

Snowflake + Orbit

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Create Activity with Orbit API on New Query Results from Snowflake API

Snowflake + Orbit

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Popular Orbit 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 Database from the Snowflake API

Emit new event when a database is created

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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular Orbit and Snowflake Actions#

Create Activity with the Orbit API

Create a new activity. See the docs here

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Create Member with the Orbit API

Create a new member. See the docs here

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Create Member Note with the Orbit API

Create a new member note. See the docs here

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Get Member by Identity with the Orbit API

Provide a source and one of username/uid/email params to return a member with that identity, if one exists. Common values for source include github, twitter, and email. See the 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 Orbit#

The Orbit API enables you to monitor and manage the uptime and performance of your websites and internet services. Through automation and integration on Pipedream, you can streamline incident management, aggregate performance data, and enhance communication across your tech stack. By leveraging real-time data from Orbit, you can trigger workflows based on site status changes, get aggregated insights, and automate responses to performance issues.

Connect Orbit#

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