Supabase is an open source Firebase alternative.
Emit new event for every new row added in a table. See documentation here
Emit new event for every insert
, update
, or delete
operation in a table. This source requires user configuration using the Supabase website. More information in the README. Also see documentation here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Call a Postgres function in a database. See the docs here
Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
supabase: {
type: "app",
app: "supabase",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.supabase.$auth.subdomain}.supabase.co/rest/v1/`,
headers: {
Authorization: `Bearer ${this.supabase.$auth.service_key}`,
"apikey": `${this.supabase.$auth.service_key}`,
},
})
},
})
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.
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)
}