Connect Supabase with Snowflake
Stream real-time data from Supabase into GlassFlow for instant processing and transformation with the Supabase Source Connector and Send transformed data from your GlassFlow pipelines directly into your Snowflake data warehouse
From Supabase
Bring real-time data from Supabase into GlassFlow with the Supabase Source Connector, enabling seamless data transformation and integration
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To Snowflake
Deliver transformed data from your GlassFlow pipelines into Snowflake seamlessly with the Snowflake Sink Connector, enabling fast, scalable analytics and reporting
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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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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 Supabase with Webhook
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Amazon DynamoDB
Connect Supabase with Amazon DynamoDB
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ClickHouse
Connect Supabase with ClickHouse
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Amazon S3
Connect Supabase with Amazon S3
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Weaviate
Connect Supabase with Weaviate
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Mongo DB
Connect Supabase with Mongo DB
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Pinecone
Connect Supabase 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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Reach out and we show you how GlassFlow interacts with your existing data stack.
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