Integrate the Roboflow API with the Snowflake API

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

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Popular Ways to Connect Roboflow with Snowflake#

Classify Image with Roboflow API on New Row from Snowflake API

Snowflake + Roboflow

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Detect Object From Image with Roboflow API on New Row from Snowflake API

Snowflake + Roboflow

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Upload Image with Roboflow API on New Row from Snowflake API

Snowflake + Roboflow

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Classify Image with Roboflow API on New Query Results from Snowflake API

Snowflake + Roboflow

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Detect Object From Image with Roboflow API on New Query Results from Snowflake API

Snowflake + Roboflow

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Popular Roboflow 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 Roboflow and Snowflake Actions#

Classify Image with the Roboflow API

Run inference on classification models hosted on Roboflow. See the documentation.

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Detect Object From Image with the Roboflow API

Run inference on your object detection models hosted on Roboflow. See the documentation.

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Upload Image with the Roboflow API

Upload an image to a project on the Roboflow platform. See the documentation.

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of Roboflow #

The Roboflow API is a robust machine learning interface that allows developers to upload, annotate, train, and deploy computer vision models. Using Pipedream, you can create powerful, serverless workflows to automate tasks involving image and video processing. With the API, you can programmatically manage datasets, kick off model training, and utilize trained models to analyze new data.

Connect Roboflow #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    roboflow: {
      type: "app",
      app: "roboflow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.roboflow.com/`,
      params: {
        api_key: `${this.roboflow.$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 snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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