Connect Webhook with Postgres CDC
Effortlessly push transformed data to any webhook-supported endpoint in real time. and A PostgreSQL CDC (Change Data Capture) source streams real-time database changes, such as inserts, updates, and deletes, to downstream systems for integration or analysis.
From Webhook
Push transformed data to any webhook-supported endpoint in real time with GlassFlow's Webhook Sink Connector. Automate workflows and integrate seamlessly.
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To Postgres CDC
Bring real-time changes from your PostgreSQL database into GlassFlow with the Postgres CDC Source Connector. Capture, stream, and transform your data effortlessly.
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We've partnered with the following integrations to provide you with a seamless experience.
Postgres CDC
Connect your Postgres CDC account.
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Supabase
Connect your Supabase account.
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Google Pub/Sub
Connect your Google Pub/Sub account.
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Amazon SQS
Connect your Amazon SQS account.
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We've partnered with the following integrations to provide you with a seamless experience.
Zapier
Connect Zapier with Webhook
More infoSupabase
Connect Supabase with Webhook
More infoGoogle Pub/Sub
Connect Google Pub/Sub with Webhook
More infoAmazon SQS
Connect Amazon SQS with Webhook
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Webhook
Connect Webhook with Webhook
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Amazon Kinesis
Connect Amazon Kinesis with Webhook
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Mongo DB
Connect Mongo DB with Webhook
More infoSupported 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
Cleaned Kafka Streams for ClickHouse
Clean Data. No maintenance. Less load for ClickHouse.
GitHub Repo
