Microsoft Azure SQL Database
Build apps that scale with managed and intelligent SQL database in the cloud.
Integrate the Microsoft Azure SQL Database API with the Snowflake API
Setup the Microsoft Azure SQL Database API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Microsoft Azure SQL Database and Snowflake remarkably fast. Free for developers.
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Popular Ways to Connect Microsoft Azure SQL Database with Snowflake#
Popular Microsoft Azure SQL Database and Snowflake Triggers#
Popular Microsoft Azure SQL Database and Snowflake Actions#
Executes a SQL query and returns the results. See the documentation
Inserts a new row in a table. See the documentation
Overview of Microsoft Azure SQL Database#
The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.
Connect Microsoft Azure SQL Database#
import azure_sql from '@pipedream/azure_sql';
export default defineComponent({
props: {
azure_sql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/azure_sql
const queryObj = {
query: "SELECT GETDATE()",
values: [],
};
return await this.azure_sql.executeQuery(queryObj);
},
});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: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies