The Data Platform for Startups and Small Teams - Jupyter, Airflow and Streamlit, No DevOps
Scale fast, start lean. Built for lean teams who need one managed Python platform for startups with Jupyter notebooks, Airflow pipelines and Streamlit apps pre-wired, no DevOps, and no config files.
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Move Fast Without Breaking Things
Your team doesn't have time for dependency hell or infrastructure firefighting. Dataflow gives you pre-configured, isolated environments for Jupyter notebooks, Airflow pipelines, and Streamlit apps so you can validate product ideas in days, not months with no DevOps burden and no config-file sprawl.
Start Free, Pay Only When You Grow
Why pay enterprise prices before you have enterprise revenue? Start with our generous free tier—perfect for prototyping, MVPs, and early traction. When your data needs grow, pricing scales with you. No surprise bills, no vendor lock-in.
From Prototype to Production in Hours
Stop wasting engineering time on Kubernetes configs and Docker files. Dataflow handles the infrastructure so your small team can focus on shipping features customers actually want. Deploy notebooks, pipelines, and dashboards with a single click.
Impress Investors with Real Data
When you're pitching your Series A, show them live dashboards powered by production-grade infrastructure—not spreadsheets. Dataflow makes your 3-person startup look like a 30-person data team. Build credibility without burning capital.
No Vendor Lock-In, Ever
Built on open-source tools you already know and love. Everything runs on your cloud account (AWS, GCP, or Azure). If you outgrow us or want to bring it in-house, you own the stack. We're here to accelerate you, not trap you.
Onboard in 30 Minutes, Not 30 Days
No consultants, no 6-month implementations, no enterprise sales calls. Sign up, connect your cloud, and start running pipelines before your coffee gets cold. Our docs are written for busy founders, not PhDs.
Sovereign deployment options give startups built-in compliance support for EU AI Act high-risk classifications while keeping day-to-day delivery simple.
Testimonials
What our users are saying about us.
Sarah Chen
Machine Learning Engineer
Zetoid
"I was amazed at how quickly I could get started with Dataflow. No time wasted on environment setup or configuration—just instant access to a fully functional workspace. This let me focus on building models from day one."
Marcus Thompson
Data Engineer
Flux Analytics
"The GPU-powered instances offered by Dataflow have been a game-changer for our training pipelines. Processing that used to take hours now completes in minutes. The performance boost is incredible and has significantly accelerated our development cycle."
Emily Watson
Analytics Lead
InsightWorks
"What I love most about Dataflow is the collaborative workspace. Having Airflow for orchestration and Streamlit for dashboards all in one place has transformed how our team works together. No more switching between tools or managing separate environments."
David Park
Senior Data Analyst
Quantify Labs
"Dataflow removed all the friction from getting started. I went from zero to running my first pipeline in under 10 minutes, without any DevOps support. The integrated apps like Airflow make complex workflows surprisingly simple to manage."
Rachel Martinez
Data Science Manager
BluePeak Systems
"Dataflow has streamlined our entire data workflow. The ability to spin up environments on-demand and scale resources as needed means we're no longer constrained by infrastructure limitations. It's freed up our team to focus on delivering insights rather than managing systems."
Ready to Move Faster?
Join hundreds of startups building data products without the enterprise overhead. Start free, scale when ready.