Integrate the Scale AI API with the Snowflake API

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

Popular Ways to Connect Scale AI with Snowflake#

Create Document Transcription Task with Scale AI API on New Row from Snowflake API

Snowflake + Scale AI

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Create Image Annotation Task with Scale AI API on New Row from Snowflake API

Snowflake + Scale AI

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Create Text Annotation Task with Scale AI API on New Row from Snowflake API

Snowflake + Scale AI

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Create Document Transcription Task with Scale AI API on New Query Results from Snowflake API

Snowflake + Scale AI

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Create Image Annotation Task with Scale AI API on New Query Results from Snowflake API

Snowflake + Scale AI

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Popular Scale AI 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 Scale AI and Snowflake Actions#

Create Document Transcription Task with the Scale AI API

Create a document transcription task. See the documentation

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Create Image Annotation Task with the Scale AI API

Create an image annotation task. See the documentation

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Create Text Annotation Task with the Scale AI API

Create a text annotation task. See the documentation

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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 Scale AI#

Scale AI offers an API to automate and streamline data labeling for machine learning applications, providing access to a global workforce and sophisticated tools. With Scale AI's API on Pipedream, you can integrate scalable data annotation workflows directly into your apps. Trigger tasks, manage datasets, and receive annotated data, all within Pipedream's serverless platform. This enables seamless automation of labeling tasks, integration with machine learning pipelines, and real-time updates on annotations.

Connect Scale AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scale_ai: {
      type: "app",
      app: "scale_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.scale.com/v1/teams`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.scale_ai.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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
  },
})