Amazon S3
Webhook
AMAZON S3 x WEBHOOK

Connect Amazon S3 with Webhook

Effortlessly load transformed data from GlassFlow into Amazon S3 for scalable storage and easy access and Capture and process data from any webhook endpoint into GlassFlow with the Webhook Source Connector. Stream data in real time for efficient transformation

Amazon S3

From Amazon S3

Load transformed data into Amazon S3 with the AWS S3 Sink Connector, enabling scalable and secure storage for further processing or archiving

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Integration screenshot
Integration screenshot
Webhook

To Webhook

Capture incoming data from any webhook and bring it into GlassFlow for processing and transformation. This integration is perfect for real-time notifications, web integrations, and custom workflows

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Discover more integrations

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

Postgres CDC

Postgres CDC

SOURCE

Connect your Postgres CDC account.

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Supabase

Supabase

SOURCE

Connect your Supabase account.

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Google Pub/Sub

Google Pub/Sub

SOURCE

Connect your Google Pub/Sub account.

More info
Amazon SQS

Amazon SQS

SOURCE

Connect your Amazon SQS account.

More info
View all integrations

Discover more connections

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

Postgres CDC
Amazon S3

Postgres CDC

Connect Postgres CDC with Amazon S3

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Zapier
Amazon S3

Zapier

Connect Zapier with Amazon S3

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Supabase
Amazon S3

Supabase

Connect Supabase with Amazon S3

More info
Google Pub/Sub
Amazon S3

Google Pub/Sub

Connect Google Pub/Sub with Amazon S3

More info
Amazon SQS
Amazon S3

Amazon SQS

Connect Amazon SQS with Amazon S3

More info
Amazon Kinesis
Amazon S3

Amazon Kinesis

Connect Amazon Kinesis with Amazon S3

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Mongo DB
Amazon S3

Mongo DB

Connect Mongo DB with Amazon S3

More info
View all connections

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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