Limitless enterprise infrastructure for live data queries, analytics, insights, and retention. No data schema requirements. Index-free. Blazing fast. The technology of choice for engineering, DevOps, IT, and security teams to unlock the power of data.
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 DataSet API enables you to manage and analyze large datasets. With Pipedream's integration, you can automate data ingestion, transformation, and analysis, create serverless workflows that respond to data events, and connect with other apps to enrich and utilize your datasets. Utilize Pipedream's serverless platform to trigger workflows, perform actions based on DataSet events, and orchestrate complex data processes with minimal setup.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dataset: {
type: "app",
app: "dataset",
}
},
async run({steps, $}) {
const data = {
"token": `${this.dataset.$auth.access_key}`,
}
return await axios($, {
method: "post",
url: `https://app.scalyr.com/api/listUsers`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})
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);
},
});