Integrate the SatisMeter API with the Snowflake API

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

Popular Ways to Connect SatisMeter with Snowflake#

Insert Multiple Rows with Snowflake API on New Survey Response from SatisMeter API

SatisMeter + Snowflake

Try it

Insert Single Row with Snowflake API on New Survey Response from SatisMeter API

SatisMeter + Snowflake

Try it

Popular SatisMeter and Snowflake Triggers#

New Survey Response from the SatisMeter API

Emit new event when a survey response is submitted to a project. See the documentation

Try it

New Row from the Snowflake API

Emit new event when a row is added to a table

Try it

New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

Try it

Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

Try it

New Database from the Snowflake API

Emit new event when a database is created

Try it

Popular SatisMeter and Snowflake Actions#

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

Try it

Insert Single Row with the Snowflake API

Insert a row into a table

Try it

Overview of SatisMeter#

SatisMeter captures customer feedback and sentiment directly through targeted surveys, providing insights into customer satisfaction and product engagement. With the SatisMeter API on Pipedream, you can automate interactions with survey data, sync customer information with other services, and trigger actions based on feedback scores. By leveraging Pipedream's serverless platform, you can create workflows that respond in real-time to survey results, enrich customer profiles, and influence your product's roadmap with actionable insights.

Connect SatisMeter#

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

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
  },
})