The Way to build Real-time Data Products
Tinybird is a real-time analytics API platform that allows developers to ingest, transform, and consume large amounts of data with low latency. By leveraging SQL and data streaming, Tinybird helps in building data-intensive applications or augmenting existing ones with real-time analytics features. On Pipedream, you can automate data ingestion, transformation, and delivery to unlock insights and drive actions in real time, transforming how you respond to user behavior and operational events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tinybird: {
type: "app",
app: "tinybird",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tinybird.co/v0/tokens`,
headers: {
Authorization: `Bearer ${this.tinybird.$auth.token}`,
},
})
},
})
The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})