Webhook
SINK

Webhook

Effortlessly push transformed data to any webhook-supported endpoint in real time.

Webhook

Website

Categories

Sink

Type

Sink

Overview

Webhook Sink Connector

Deliver your transformed data instantly to any external application with GlassFlow's Webhook Sink Connector. Designed for flexibility and speed, this connector enables you to push processed data to any endpoint that supports webhooks, ensuring seamless integration into your workflows.

Key Features

  • Real-Time Data Delivery: Send data to external systems in real time as soon as it’s ready.
  • Wide Compatibility: Compatible with any service or tool that supports webhook endpoints, offering unmatched flexibility.
  • Customizable Payloads: Configure the payload format to match the requirements of your target application.
  • Secure Communication: Supports secure transmission via HTTPS, ensuring your data remains protected.

Use Cases

  • Event-Driven Notifications: Trigger alerts or workflows in external systems with transformed data.
  • API Automation: Push data to third-party applications or custom-built APIs for further processing or analysis.
  • Seamless Integration: Feed data into platforms like Slack, custom dashboards, or any system that supports webhooks.

With the Webhook Sink Connector, GlassFlow empowers you to deliver insights and data exactly where they’re needed, automating downstream processes effortlessly

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Discover more connections

We've partnered with the following integrations to provide you with a seamless experience.

Postgres CDC
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Connect Google Pub/Sub with Webhook

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Connect Amazon SQS with Webhook

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Supported by our users

Do not listen to us. Listen to them.

  • GlassFlow team managed to turn my scattered thoughts regarding the data streaming into a Python masterpiece.
    ⁠Anurag Roy@Doorlabs
  • Creating a data pipeline with GlassFlow is incredibly straightforward
    ⁠Swapnil Gupta@Deloitte
  • I am fed up with overcomplicated event-based pipelines. Finally a team that will make my life easier.
    Philippe Brule@aboutphilippe
  • Love the way they team tackles the complexity of building and sharing streaming pipelines.
    Rakesh Kaswan@KaswanRakesh
  • As a Python dev starting with data streaming, you should absolutely give Glassflow a try.
    ⁠Dinesh Marimuthu@Bilthouse
  • Something is cooking here! Super excited to test your solution.
    Joash Xu@joashxu
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