Connect Amazon Kinesis with Weaviate
Capture and process real-time data from Amazon Kinesis Data Streams into GlassFlow, enabling dynamic data processing and integration and Load transformed data from GlassFlow into Weaviate for advanced vector search and machine learning applications
From Amazon Kinesis
Stream real-time data from Amazon Kinesis into GlassFlow for processing, transformation, and integration
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To Weaviate
Seamlessly push transformed data into Weaviate with the Weaviate Sink Connector, enabling powerful AI-driven search and machine learning capabilities
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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.
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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 Amazon Kinesis with Webhook
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Snowflake
Connect Amazon Kinesis with Snowflake
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Amazon DynamoDB
Connect Amazon Kinesis with Amazon DynamoDB
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ClickHouse
Connect Amazon Kinesis with ClickHouse
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Amazon S3
Connect Amazon Kinesis with Amazon S3
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Mongo DB
Connect Amazon Kinesis with Mongo DB
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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
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