Integrate the Tolstoy API with the Snowflake API

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

Popular Ways to Connect Tolstoy with Snowflake#

Insert Multiple Rows with Snowflake API on New Lead (Instant) from Tolstoy API

Tolstoy + Snowflake

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Insert Multiple Rows with Snowflake API on New Response (Instant) from Tolstoy API

Tolstoy + Snowflake

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Insert Row with Snowflake API on New Lead (Instant) from Tolstoy API

Tolstoy + Snowflake

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Insert Row with Snowflake API on New Response (Instant) from Tolstoy API

Tolstoy + Snowflake

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Popular Tolstoy and Snowflake Triggers#

New Lead (Instant) from the Tolstoy API

Emit new event on each new lead.

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New Row from the Snowflake API

Emit new event when a row is added to a table

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New Response (Instant) from the Tolstoy API

Emit new event on each new response.

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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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Popular Tolstoy and Snowflake Actions#

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 Tolstoy#

The Tolstoy API offers a suite of tools for engaging with customers through interactive video experiences. With it, you can automate the creation, analysis, and management of interactive video content, streamlining how you engage with your audience. By leveraging the Tolstoy API on Pipedream, you can create powerful automations that react to video interactions, manage leads, and trigger personalized follow-ups based on viewer behavior. This supports a more dynamic and responsive marketing strategy, improves lead qualification processes, and enhances customer support by providing interactive video experiences tailored to user actions and feedback.

Connect Tolstoy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tolstoy: {
      type: "app",
      app: "tolstoy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.gotolstoy.com/users/me`,
      headers: {
        Authorization: `Bearer ${this.tolstoy.$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
  },
})