Connect Snowflake with Amazon Kinesis
Send transformed data from your GlassFlow pipelines directly into your Snowflake data warehouse and Capture and process real-time data from Amazon Kinesis Data Streams into GlassFlow, enabling dynamic data processing and integration
From Snowflake
Deliver transformed data from your GlassFlow pipelines into Snowflake seamlessly with the Snowflake Sink Connector, enabling fast, scalable analytics and reporting
More info
To Amazon Kinesis
Stream real-time data from Amazon Kinesis into GlassFlow for processing, transformation, and integration
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.
Postgres CDC
Connect Postgres CDC with Snowflake
More info
Zapier
Connect Zapier with Snowflake
More infoSupabase
Connect Supabase with Snowflake
More infoGoogle Pub/Sub
Connect Google Pub/Sub with Snowflake
More infoAmazon SQS
Connect Amazon SQS with Snowflake
More info
Webhook
Connect Webhook with Snowflake
More info
Mongo DB
Connect Mongo DB with Snowflake
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
