Self-service BI & Analytics Software
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Zoho Analytics API lets you harness the power of your data by automating complex analytics tasks. With this API, you can create, access, and manage reports, dashboards, and KPI widgets programmatically. Integrate with Pipedream's serverless platform to trigger actions based on events, sync data across apps, and automate workflows without managing servers. Whether it's updating datasets in real-time or sending reports to your team, the possibilities stretch as wide as your data does.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_analytics: {
type: "app",
app: "zoho_analytics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.zoho_analytics.$auth.base_api_uri}/restapi/v2/orgs`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_analytics.$auth.oauth_access_token}`,
"ZANALYTICS-ORGID": `${this.zoho_analytics.$auth.organization_id}`,
},
})
},
})
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.
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
};
return await this.mysql.executeQuery(queryObj);
},
});