Connect Pinecone with Postgres CDC
Load transformed vector data into Pinecone for semantic search, recommendation systems, and AI-driven applications with the Pinecone Sink Connector and 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.
From Pinecone
Load transformed data into Pinecone to power semantic search, recommendation systems, and vector-based applications
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To 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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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.
Zapier
Connect Zapier with Pinecone
More infoSupabase
Connect Supabase with Pinecone
More infoGoogle Pub/Sub
Connect Google Pub/Sub with Pinecone
More infoAmazon SQS
Connect Amazon SQS with Pinecone
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Webhook
Connect Webhook with Pinecone
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Amazon Kinesis
Connect Amazon Kinesis with Pinecone
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Mongo DB
Connect Mongo DB 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
Cleaned Kafka Streams for ClickHouse
Clean Data. No maintenance. Less load for ClickHouse.
GitHub Repo
