Integrate the Altoviz API with the Snowflake API

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

Popular Ways to Connect Altoviz with Snowflake#

Create Customer with Altoviz API on New Row from Snowflake API

Snowflake + Altoviz

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Create Product with Altoviz API on New Row from Snowflake API

Snowflake + Altoviz

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Find Product with Altoviz API on New Row from Snowflake API

Snowflake + Altoviz

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Send Sales Invoice with Altoviz API on New Row from Snowflake API

Snowflake + Altoviz

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Create Customer with Altoviz API on New Query Results from Snowflake API

Snowflake + Altoviz

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Popular Altoviz 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 Contact (Instant) from the Altoviz API

Emit new event each time a contact is created, updated or deleted in Altoviz.

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New Product (Instant) from the Altoviz API

Emit new event when a product is created, updated or deleted in Altoviz.

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Popular Altoviz and Snowflake Actions#

Create Customer with the Altoviz API

Creates a new customer in Altoviz. See the documentation

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Create Product with the Altoviz API

Creates a new product in Altoviz. See the documentation

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Find Product with the Altoviz API

Finds products in Altoviz using the 'productnumber' prop. 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 Altoviz#

The Altoviz API offers access to a range of data visualization tools that allow users to create, manage, and embed interactive charts and maps into their applications. With Pipedream, you can leverage this functionality to automate the generation of custom visualizations based on various data sources and events. You can trigger workflows using webhooks, schedule them, or even react to emails and messages, and then use the Altoviz API to dynamically create data visualizations that can be shared with your audience or team.

Connect Altoviz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    altoviz: {
      type: "app",
      app: "altoviz",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.altoviz.com/v1/Users/me `,
      headers: {
        "X-API-KEY": `${this.altoviz.$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
  },
})