Connect Postgres CDC with Pinecone
A PostgreSQL CDC (Change Data Capture) source streams real-time database changes, such as inserts, updates, and deletes, to downstream systems for integration or analysis. and Load transformed vector data into Pinecone for semantic search, recommendation systems, and AI-driven applications with the Pinecone Sink Connector
From Postgres CDC
Bring real-time changes from your PostgreSQL database into GlassFlow with the Postgres CDC Source Connector. Capture, stream, and transform your data effortlessly.
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To Pinecone
Load transformed data into Pinecone to power semantic search, recommendation systems, and vector-based applications
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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 Postgres CDC with Webhook
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Snowflake
Connect Postgres CDC with Snowflake
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Amazon DynamoDB
Connect Postgres CDC with Amazon DynamoDB
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ClickHouse
Connect Postgres CDC with ClickHouse
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Amazon S3
Connect Postgres CDC with Amazon S3
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Weaviate
Connect Postgres CDC with Weaviate
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Mongo DB
Connect Postgres CDC with Mongo DB
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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