Event-driven Data Pipelines for AI Startups.
Focus on writing your data transformations—we'll handle the infrastructure. Build scalable RAG pipelines without the complexity of Apache Kafka or Flink.
Try our transformation templates.
This pipeline function enriches the incoming events data in real time by calling a location API to get latitude, longitude, and region information
Build with template
Less Infrastructure. More Outcome.
Zero Infrastructure
You define the pipeline loging and we execute it. 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.
A selection of use cases
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.
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.
Fully managed and serverless. You write the functions and we run the infra. Independently create, deploy, and manage data pipelines.
Trigger pipelines creations in auto mode with Python. No more manually creating pipelines for new customers.
BYOC for you and your enterprise customers. We take care of the maintenance and updates.
Branch your AI pipelines. Use multistep branching to get the best results for your parsing.
Reprocessing for lost events. Reprocess events easily and keep your pipelines running.
Highly scalable with low latency. Make your application scalable without losing on performance or changing your infra.
Create your first
pipeline in minutes
Our low code interface shows you with a step-by-step guide how create your first pipeline.
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
Start building in minutes
Kickstart your next project with templates built by GlassFlow
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