Integrate the Baserow API with the Snowflake API

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

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Popular Ways to Connect Baserow with Snowflake#

Create Row with Baserow API on New Row from Snowflake API

Snowflake + Baserow

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Delete Row with Baserow API on New Row from Snowflake API

Snowflake + Baserow

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Get Row with Baserow API on New Row from Snowflake API

Snowflake + Baserow

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List Rows with Baserow API on New Row from Snowflake API

Snowflake + Baserow

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Update Row with Baserow API on New Row from Snowflake API

Snowflake + Baserow

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Popular Baserow 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 or Updated Row from the Baserow API

Emit new event when a table row is created, updated or deleted, according to the selected event types

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Baserow and Snowflake Actions#

Create Row with the Baserow API

Create a row See docs here

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Delete Row with the Baserow API

Delete a row See docs here

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Get Row with the Baserow API

Get a single row See docs here

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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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List Rows with the Baserow API

List a table's rows See docs here

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Overview of Baserow#

The Baserow API allows you to interact programmatically with Baserow, an open-source no-code database tool. With its API, you can automate database operations such as creating, reading, updating, and deleting records. Moreover, it's possible to manage databases, tables, fields, and rows, or integrate with external services to enrich or move data in real-time. Leveraging Pipedream’s capabilities, you can trigger workflows from a variety of events and connect Baserow to numerous apps for seamless data processes.

Connect Baserow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    baserow: {
      type: "app",
      app: "baserow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.baserow.$auth.base_api_url}/database/rows/table/[TABLE_ID]/`,
      headers: {
        "Authorization": `Token ${this.baserow.$auth.token}`,
      },
    })
  },
})

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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