Connect Amazon Kinesis with Amazon S3
Capture and process real-time data from Amazon Kinesis Data Streams into GlassFlow, enabling dynamic data processing and integration and Effortlessly load transformed data from GlassFlow into Amazon S3 for scalable storage and easy access
From Amazon Kinesis
Stream real-time data from Amazon Kinesis into GlassFlow for processing, transformation, and integration
More info
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
More infoDiscover more integrations
We've partnered with the following integrations to provide you with a seamless experience.
Postgres CDC
Connect your Postgres CDC account.
More info
Supabase
Connect your Supabase account.
More info
Google Pub/Sub
Connect your Google Pub/Sub account.
More info
Amazon SQS
Connect your Amazon SQS account.
More infoDiscover more connections
We've partnered with the following integrations to provide you with a seamless experience.
Webhook
Connect Amazon Kinesis with Webhook
More info
Snowflake
Connect Amazon Kinesis with Snowflake
More info
Amazon DynamoDB
Connect Amazon Kinesis with Amazon DynamoDB
More info
ClickHouse
Connect Amazon Kinesis with ClickHouse
More info
Weaviate
Connect Amazon Kinesis with Weaviate
More info
Mongo DB
Connect Amazon Kinesis with Mongo DB
More info
Pinecone
Connect Amazon Kinesis 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
Get started today
Reach out and we show you how GlassFlow interacts with your existing data stack.
Book a demo
