Python-based user defined serverless functions for your Supabase.
Combine your Supabase with Python functions. Use any Python library you want and get functions executed in real-time. Select Supabase as the destination, or choose any other destination system from our connectors list.
Selection of destinations:
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Build using robust technologies you see
Native Python
End-to-end native Python for your pipelines. Forget the Python wrappers and use any Py library you want.
Build in mins
Only focus on your needed transformations and functions. With our connectors, templates and code snippets you don't need to start from scratch.
Zero Infrastructure
We do the heavy lifting for you. We take care of maintenance, scalability, and making sure it is robust. Completely managed by us.
A serverless and production-ready setup that empowers everyone in your data team to build and transform event-driven data pipelines.
Serverless data transformation. Empower your data team to independently create, deploy, and manage data pipelines.
Native Python with AI library support. Enjoy variety of predefined themes or build your own.
Fully managed and data secured service. There is zero stress about maintenance updates or upgrades.
Real-time API connection. Connect to external API during transformation
Alerting and reprocessing. Run heavy tasks in the background without slowing.
Easy to start and scale to infinity. No need to bring a message broker. No ramp up time with learning how to build infra.
Works with your preferred data stack
A serverless, production-ready setup for building and transforming event-driven data pipelines, with support for APIs and Webhooks.
Don't listen to us. Listen to them.
Rakesh Kaswan
@KaswanRakesh
“Love the way they team tackles the complexity of building and sharing streaming pipelines.”
Vivek Dubey
@vkd
“The problem the team is solving is real.
That's why I joined them.”
Joash Xu
@joashxu
“Something is cooking here!
Super excited to test your solution.”
Salah Ghanim
@SalahGoes
“Super excited to follow their path. What the team showed me reg real-time AI pipelines is very promising.”
Ingo M
@ingo-m
“Finally a data streaming solution that allows me to spend more time on my ML models than on infra setup.”
Philippe Brule
@aboutphilippe
“I am fed up with overcomplicated event-based pipelines. Finally a team that will make
my life easier.”
Start building in minutes
Build data pipelines that react in real-time.
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