Event-driven Data Pipelines in Python. No need for Kafka and Flink.

You write the Python function and we run the infra. Start with our in-built message broker, Google Pub/Sub, Kinesis or our webhook to build your pipeline within 15 minutes.

Build for free Documentation

Built with robust technologies

A managed service with a serverless execution of your Py functions

Zero Infrastructure
You define the Python functions and we run the infra. Simple.
Native Python
End-to-end native Python for your pipelines. Forget the Python wrappers and use any Py library you want.
Build in mins
Set up your pipeline in just minutes. Get auto scaling of your infra, low latency and optimal data retention. Our templates and connectors will get you ready super quick.

Create your first
pipeline in minutes

Our low code interface shows you with a step-by-step guide how create your first pipeline.

Start with a template

Run Python functions with your favorite library.

GlassFlow brings an in-built serverless execution of your functions. Connect with real-time APIs within your functions, use your preferred Py library and our transformation templates.

View templates

This transformation function enriches the incoming data by calling a location API to get latitude, longitude, and region information based on the real-time event
View template

Features

Each feature is built to make your event-driven data pipeline journey as easy as possible and allow any Py dev to create pipelines in minutes.

Serverless function execution. You write the functions and we run the infra. Independently create, deploy, and manage data pipelines.
Native Python with library support. Use the Py libraries that you prefer.
Fully managed and data secured service. Zero stress about maintenance updates or upgrades.
Real-time API connection. Connect to any real-time API like OpenAI, Google Maps and Stipe within your function.
Alerting and reprocessing. We inform you of unprocessed events. Reprocess faulty events later.
Easy to start and scale infinitely. No need to bring a message broker. No effort with learning how to build infra.

Works with your preferred data stack

Integrate with your data sources and destinations that you are already using. Our Py SDK and our managed connectors make is easy for you.

View integrations

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