Connect Amazon DynamoDB with Webhook
Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage and Capture and process data from any webhook endpoint into GlassFlow with the Webhook Source Connector. Stream data in real time for efficient transformation
From Amazon DynamoDB
Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage
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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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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.
Postgres CDC
Connect Postgres CDC with Amazon DynamoDB
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Zapier
Connect Zapier with Amazon DynamoDB
More infoSupabase
Connect Supabase with Amazon DynamoDB
More infoGoogle Pub/Sub
Connect Google Pub/Sub with Amazon DynamoDB
More infoAmazon SQS
Connect Amazon SQS with Amazon DynamoDB
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Amazon Kinesis
Connect Amazon Kinesis with Amazon DynamoDB
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Mongo DB
Connect Mongo DB with Amazon DynamoDB
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
