Cardly

Send as many personal, handwritten cards as you like – without lifting a pen.

Integrate the Cardly API with the Snowflake API

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

Create Contact with Cardly API on New Row from Snowflake API
Snowflake + Cardly
 
Try it
Generate Preview with Cardly API on New Row from Snowflake API
Snowflake + Cardly
 
Try it
Send Card with Cardly API on New Row from Snowflake API
Snowflake + Cardly
 
Try it
Create Contact with Cardly API on New Query Results from Snowflake API
Snowflake + Cardly
 
Try it
Generate Preview with Cardly API on New Query Results from Snowflake API
Snowflake + Cardly
 
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
New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
Try it
Create Contact with the Cardly API

Creates a new contact in Cardly. See the documentation

 
Try it
Generate Preview with the Cardly API

Generates a preview in Cardly. See the documentation

 
Try it
Send Card with the Cardly API

Send a card in Cardly. See the documentation

 
Try it
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 Cardly

The Cardly API empowers you to automate sending personalized cards and gifts to clients, employees, or any recipient with ease. Using Pipedream's serverless platform, you can create workflows that trigger on specific events or conditions, connecting Cardly with other apps to send out physical cards. Automate birthday greetings, thank you notes, holiday cards, or customer follow-ups with handwritten messages, leveraging the power of direct mail in a digital world.

Connect Cardly

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cardly: {
      type: "app",
      app: "cardly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.card.ly/v2/account/balance`,
      headers: {
        "API-Key": `${this.cardly.$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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
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
  },
})