Connect ClickHouse with Amazon SQS
Send transformed data from your GlassFlow pipelines directly into a ClickHouse database for real-time analytics and Easily bring messages from Amazon SQS queues into GlassFlow for real-time processing and transformation with the Amazon SQS Source Connector
From ClickHouse
Deliver transformed data from GlassFlow into ClickHouse with the ClickHouse Sink Connector. Enable ultra-fast querying and scalable analytics workflows
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To Amazon SQS
Easily bring messages from Amazon SQS queues into GlassFlow for real-time processing and transformation with the Amazon SQS Source Connector
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.
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Supabase
Connect your Supabase account.
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Google Pub/Sub
Connect your Google Pub/Sub account.
More infoAmazon 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 ClickHouse
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Zapier
Connect Zapier with ClickHouse
More infoSupabase
Connect Supabase with ClickHouse
More infoGoogle Pub/Sub
Connect Google Pub/Sub with ClickHouse
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Webhook
Connect Webhook with ClickHouse
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Amazon Kinesis
Connect Amazon Kinesis with ClickHouse
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Mongo DB
Connect Mongo DB with ClickHouse
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
