Connect Amazon SQS with Amazon DynamoDB
Easily bring messages from Amazon SQS queues into GlassFlow for real-time processing and transformation with the Amazon SQS Source Connector and Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage
From Amazon SQS
Easily bring messages from Amazon SQS queues into GlassFlow for real-time processing and transformation with the Amazon SQS Source Connector
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To Amazon DynamoDB
Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage
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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.
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.
Webhook
Connect Amazon SQS with Webhook
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Snowflake
Connect Amazon SQS with Snowflake
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ClickHouse
Connect Amazon SQS with ClickHouse
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Amazon S3
Connect Amazon SQS with Amazon S3
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Weaviate
Connect Amazon SQS with Weaviate
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Mongo DB
Connect Amazon SQS with Mongo DB
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Pinecone
Connect Amazon SQS 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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