ClickHouse
Amazon Kinesis
CLICKHOUSE x AMAZON KINESIS

Connect ClickHouse with Amazon Kinesis

Send transformed data from your GlassFlow pipelines directly into a ClickHouse database for real-time analytics and Capture and process real-time data from Amazon Kinesis Data Streams into GlassFlow, enabling dynamic data processing and integration

ClickHouse

From 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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Integration screenshot
Integration screenshot
Amazon Kinesis

To Amazon Kinesis

Stream real-time data from Amazon Kinesis into GlassFlow for processing, transformation, and integration

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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.

Postgres CDC
ClickHouse

Postgres CDC

Connect Postgres CDC with ClickHouse

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Zapier
ClickHouse

Zapier

Connect Zapier with ClickHouse

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Supabase
ClickHouse

Supabase

Connect Supabase with ClickHouse

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Google Pub/Sub
ClickHouse

Google Pub/Sub

Connect Google Pub/Sub with ClickHouse

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Amazon SQS
ClickHouse

Amazon SQS

Connect Amazon SQS with ClickHouse

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Webhook
ClickHouse

Webhook

Connect Webhook with ClickHouse

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Mongo DB
ClickHouse

Mongo DB

Connect Mongo DB with ClickHouse

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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
Testimonials background

Cleaned Kafka Streams for ClickHouse

Clean Data. No maintenance. Less load for ClickHouse.

GitHub Repo