Zoho Catalyst

Catalyst by Zoho is a highly scalable serverless platform that lets developers build and deploy world-class solutions without managing servers. Even better, you pay nothing till you deploy the project to production. Get a free, full-featured sandbox and up to 125 million free invocations

Integrate the Zoho Catalyst API with the MySQL API

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

Detect Objects in Image with Zoho Catalyst API on New Column from MySQL API
MySQL + Zoho Catalyst
 
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Detect Objects in Image with Zoho Catalyst API on New or Updated Row from MySQL API
MySQL + Zoho Catalyst
 
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Detect Objects in Image with Zoho Catalyst API on New Row (Custom Query) from MySQL API
MySQL + Zoho Catalyst
 
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Detect Objects in Image with Zoho Catalyst API on New Row from MySQL API
MySQL + Zoho Catalyst
 
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Detect Objects in Image with Zoho Catalyst API on New Table from MySQL API
MySQL + Zoho Catalyst
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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Detect Objects in Image with the Zoho Catalyst API

Detect or recognize objects in an image. See the documentation

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Extract Text from Image with the Zoho Catalyst API

Extract text from an image. See the documentation

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Perform Face Detection and Analysis with the Zoho Catalyst API

Perform face detection and analysis on an image. See the documentation

 
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Overview of Zoho Catalyst

Zoho Catalyst is a cloud-based backend for building and hosting serverless applications. With its API, you can create, read, update, and delete records in Catalyst Data Store, run Catalyst Functions, manage files in Catalyst File Store, and orchestrate various backend processes. Integrating Zoho Catalyst with Pipedream allows you to seamlessly connect these backend operations with other services and automate workflows. For example, you can trigger a function when you receive an email, process data from webhooks, or sync information between Zoho Catalyst and other platforms.

Connect Zoho Catalyst

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zoho_catalyst: {
      type: "app",
      app: "zoho_catalyst",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.zoho_catalyst.$auth.base_api_uri}/baas/v1/project`,
      headers: {
        "Authorization": `Zoho-oauthtoken ${this.zoho_catalyst.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});