Connect Webhook with Amazon S3
Capture and process data from any webhook endpoint into GlassFlow with the Webhook Source Connector. Stream data in real time for efficient transformation and Effortlessly load transformed data from GlassFlow into Amazon S3 for scalable storage and easy access
From 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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To 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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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.
Webhook
Connect Webhook with Webhook
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Snowflake
Connect Webhook with Snowflake
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Amazon DynamoDB
Connect Webhook with Amazon DynamoDB
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ClickHouse
Connect Webhook with ClickHouse
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Weaviate
Connect Webhook with Weaviate
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Mongo DB
Connect Webhook with Mongo DB
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Pinecone
Connect Webhook with Pinecone
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
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