Tinybird
The Way to build Real-time Data Products
Integrate the Tinybird API with the Go API
Setup the Tinybird API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Tinybird and Go remarkably fast. Free for developers.
Popular Tinybird and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Tinybird#
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.
Connect Tinybird#
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}`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}