Integrate the Replicate API with the Snowflake API

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

Popular Ways to Connect Replicate with Snowflake#

Cancel Prediction with Replicate API on New Row from Snowflake API

Snowflake + Replicate

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Create Prediction with Replicate API on New Row from Snowflake API

Snowflake + Replicate

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Get Model with Replicate API on New Row from Snowflake API

Snowflake + Replicate

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Get Prediction with Replicate API on New Row from Snowflake API

Snowflake + Replicate

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Cancel Prediction with Replicate API on New Query Results from Snowflake API

Snowflake + Replicate

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Popular Replicate 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 Replicate and Snowflake Actions#

Cancel Prediction with the Replicate API

Cancel a specific prediction identified by Id. See the documentation

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Create Prediction with the Replicate API

Create a new prediction See the documentation

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Get Model with the Replicate API

Get a specific model identified by Id. See the documentation

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Get Prediction with the Replicate API

Get a specific prediction identified by Id. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of Replicate#

The Replicate API allows you to access a wide array of machine learning models for tasks such as image generation, text-to-image, and more. Using Pipedream, you can orchestrate these models to automate content creation, analyze media, or enhance data with AI-generated insights. Pipedream's serverless platform empowers you to create workflows that react to events, schedule tasks, and integrate with numerous other services, all harnessing the power of Replicate's AI models.

Connect Replicate#

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

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
  },
})