Google Pub/Sub
Pinecone
GOOGLE PUB/SUB x PINECONE

Connect Google Pub/Sub with Pinecone

Google Pub/Sub is a fully-managed messaging service by Google Cloud. GlassFlow connector to Google Pub/Sub can consume messages directly from your Pub/Sub topic and send it to your pipeline and Load transformed vector data into Pinecone for semantic search, recommendation systems, and AI-driven applications with the Pinecone Sink Connector

Google Pub/Sub

From Google Pub/Sub

Stream real-time data from Google Pub/Sub into GlassFlow for processing and transformation

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Integration screenshot
Pinecone

To Pinecone

Load transformed data into Pinecone to power semantic search, recommendation systems, and vector-based applications

More info

Discover more integrations

We've partnered with the following integrations to provide you with a seamless experience.

Postgres CDC

Postgres CDC

SOURCE

Connect your Postgres CDC account.

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Supabase

Supabase

SOURCE

Connect your Supabase account.

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Google Pub/Sub

Google Pub/Sub

SOURCE

Connect your Google Pub/Sub account.

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Amazon SQS

Amazon SQS

SOURCE

Connect your Amazon SQS account.

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Discover more connections

We've partnered with the following integrations to provide you with a seamless experience.

Google Pub/Sub
Webhook

Webhook

Connect Google Pub/Sub with Webhook

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Google Pub/Sub
Snowflake

Snowflake

Connect Google Pub/Sub with Snowflake

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Google Pub/Sub
Amazon DynamoDB

Amazon DynamoDB

Connect Google Pub/Sub with Amazon DynamoDB

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Google Pub/Sub
ClickHouse

ClickHouse

Connect Google Pub/Sub with ClickHouse

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Google Pub/Sub
Amazon S3

Amazon S3

Connect Google Pub/Sub with Amazon S3

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Google Pub/Sub
Weaviate

Weaviate

Connect Google Pub/Sub with Weaviate

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Google Pub/Sub
Mongo DB

Mongo DB

Connect Google Pub/Sub with Mongo DB

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View all connections

Supported 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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