Amazon DynamoDB
Supabase
AMAZON DYNAMODB x SUPABASE

Connect Amazon DynamoDB with Supabase

Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage and Stream real-time data from Supabase into GlassFlow for instant processing and transformation with the Supabase Source Connector

Amazon DynamoDB

From Amazon DynamoDB

Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage

More info
Integration screenshot
Integration screenshot
Supabase

To Supabase

Bring real-time data from Supabase into GlassFlow with the Supabase Source Connector, enabling seamless data transformation and integration

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.

More info
Google Pub/Sub

Google Pub/Sub

SOURCE

Connect your Google Pub/Sub account.

More info
Amazon SQS

Amazon SQS

SOURCE

Connect your Amazon SQS account.

More info
View all integrations

Discover more connections

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

Postgres CDC
Amazon DynamoDB

Postgres CDC

Connect Postgres CDC with Amazon DynamoDB

More info
Zapier
Amazon DynamoDB

Zapier

Connect Zapier with Amazon DynamoDB

More info
Google Pub/Sub
Amazon DynamoDB

Google Pub/Sub

Connect Google Pub/Sub with Amazon DynamoDB

More info
Amazon SQS
Amazon DynamoDB

Amazon SQS

Connect Amazon SQS with Amazon DynamoDB

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Webhook
Amazon DynamoDB

Webhook

Connect Webhook with Amazon DynamoDB

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Amazon Kinesis
Amazon DynamoDB

Amazon Kinesis

Connect Amazon Kinesis with Amazon DynamoDB

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Mongo DB
Amazon DynamoDB

Mongo DB

Connect Mongo DB with Amazon DynamoDB

More info
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