What do you want to automate
with Snowflake and Beekeeper?
Prompt, edit and deploy AI agents that connect to Snowflake, Beekeeper and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Snowflake and Beekeeper Triggers#
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event instantly when a new chat message is created in any chat the user is a member of. See the documentation
Emit new event when a new comment is created. See the documentation
Popular Snowflake and Beekeeper Actions#
Create a new text or multimedia post in a defined stream. See the documentation
Retrieve the profile details of a specific user. See the documentation
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: [],
});
},
});Overview of Beekeeper#
The Beekeeper API enables seamless integration of its workplace communications platform with other business tools and systems, enhancing team collaboration and operational efficiency. By leveraging the Beekeeper API on Pipedream, you can automate the flow of information between Beekeeper and various applications, trigger actions based on messages or alerts, and synchronize data across your organization's tools. Pipedream's serverless architecture simplifies the process of setting up these automations without the need for dedicated infrastructure.
Connect Beekeeper#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
beekeeper: {
type: "app",
app: "beekeeper",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.beekeeper.$auth.subdomain}.beekeeper.io/api/2/config`,
headers: {
Authorization: `Bearer ${this.beekeeper.$auth.access_token}`,
},
})
},
})
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