Connect Amazon DynamoDB with Mongo DB
Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage and Stream real-time data from MongoDB into GlassFlow for processing, transformation, and integration
From Amazon DynamoDB
Effortlessly load transformed data from GlassFlow into Amazon DynamoDB for scalable, low-latency storage
More info
To Mongo DB
Capture and process real-time data changes from MongoDB into GlassFlow, enabling dynamic transformation and integration of your data
More infoDiscover more integrations
We've partnered with the following integrations to provide you with a seamless experience.
Postgres CDC
Connect your Postgres CDC account.
More info
Supabase
Connect your Supabase account.
More info
Google Pub/Sub
Connect your Google Pub/Sub account.
More info
Amazon SQS
Connect your Amazon SQS account.
More infoDiscover more connections
We've partnered with the following integrations to provide you with a seamless experience.
Postgres CDC
Connect Postgres CDC with Amazon DynamoDB
More info
Zapier
Connect Zapier with Amazon DynamoDB
More infoSupabase
Connect Supabase with Amazon DynamoDB
More infoGoogle Pub/Sub
Connect Google Pub/Sub with Amazon DynamoDB
More infoAmazon SQS
Connect Amazon SQS with Amazon DynamoDB
More info
Webhook
Connect Webhook with Amazon DynamoDB
More info
Amazon Kinesis
Connect Amazon Kinesis with Amazon DynamoDB
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
