Webhook
ClickHouse
WEBHOOK x CLICKHOUSE

Connect Webhook with ClickHouse

Capture and process data from any webhook endpoint into GlassFlow with the Webhook Source Connector. Stream data in real time for efficient transformation and Send transformed data from your GlassFlow pipelines directly into a ClickHouse database for real-time analytics

Webhook

From Webhook

Capture incoming data from any webhook and bring it into GlassFlow for processing and transformation. This integration is perfect for real-time notifications, web integrations, and custom workflows

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Integration screenshot
Integration screenshot
ClickHouse

To ClickHouse

Deliver transformed data from GlassFlow into ClickHouse with the ClickHouse Sink Connector. Enable ultra-fast querying and scalable analytics workflows

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

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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.

Webhook
Webhook

Webhook

Connect Webhook with Webhook

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Webhook
Snowflake

Snowflake

Connect Webhook with Snowflake

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Webhook
Amazon DynamoDB

Amazon DynamoDB

Connect Webhook with Amazon DynamoDB

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Webhook
Amazon S3

Amazon S3

Connect Webhook with Amazon S3

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Webhook
Weaviate

Weaviate

Connect Webhook with Weaviate

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Webhook
Mongo DB

Mongo DB

Connect Webhook with Mongo DB

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Webhook
Pinecone

Pinecone

Connect Webhook with Pinecone

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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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