Simple, transparent pricing
One flat studio license. Pay only for the compute you use — per hour, per cloud.
SUPPORTED PROVIDERS
GCP 
AWS 
Azure 
IONOS Deploy the platform directly into your own cloud account. Maintain complete ownership and control over your infrastructure.
INCLUDES
- AI ready python environment
- Unlimited shared data connections
- Git integration
- Jupyterhub, Airflow, Superset
- Dash Apps & VS Code
- Premium Support
- Self Install
- Automatic security and version updates
PAY AS YOU GO
$0 upfront
Start free. Pay only for the compute resources you use, per hour, per cloud.
ALL APPS INCLUDED
- ✓ Jupyterhub
- ✓ Airflow
- ✓ Superset
- ✓ Dash Apps
- ✓ VS Code
| INSTANCE |
|---|
No instances match those filters.
No setup fees
Start now, no credit card required
Dedicated Setup
For organizations with strict security, compliance, or extreme scale requirements. Get a fully managed, single-tenant environment tailored to your exact needs.
- Dedicated Infrastructure
- Managed by Dataflow
- Additional Cloud Services
- Transparent pricing
Custom Plan
Talk to Sales
Let's design a bespoke solution that fits your specific enterprise scale and requirements.
Contact Our TeamAll prices are per hour of active compute. Instances are billed only when running.
Instance pricing across clouds
Transparent hourly compute rates on every supported cloud provider. Pick the instance that fits your workload — pay only while it runs.
| Instance | Type | vCPU | Memory | GPU | Price / hour |
|---|
Not sure yet!
Try our free
consultation.
Schedule a personalized demo and discover how Dataflow can transform your data operations. Our team is ready to answer your questions.
Additional support
Support & Learning Resources
Everything you need to get unblocked, available on demand.
Learn Morein the Dataflow documentation
Video Walkthroughs
Prefer visual learning? Browse our library of step-by-step tutorials covering everything from connecting Snowflake to deploying your first GenAI pipeline.
Browse Tutorials
Developer Forum
Stuck on a configuration? Post your questions in our community forum to get direct answers from the Dataflow engineering team and other users.
Ask a Question 
Security and Compliance
The entire Dataflow team is focused on keeping you and your data safe. We adhere to industry-leading standards to manage our network, secure our application, and set policies across our organization.
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."
Dataflow vs Astronomer vs Prefect vs Databricks
Snapshot comparison for teams evaluating managed orchestration and data app delivery platforms.
| Platform | Monthly cost | Free tier | EU data residency | Setup time | Airflow included |
|---|---|---|---|---|---|
| Dataflow | From $0, then usage-based paid plans | Yes | Yes, including sovereign cloud options | Low | Yes |
| Astronomer | Paid plans, typically higher for production teams | Limited trial | Available on selected plans and regions | Medium | Yes |
| Prefect | Free open-source option, paid cloud tiers | Yes | Plan-dependent | Medium | No |
| Databricks | Usage-based enterprise pricing | Limited trial | Available in supported EU regions | High | No |
FAQ
Questions, answered
Frequently asked questions
Is there a free tier?+
Yes. Dataflow includes a free tier so teams can start building without upfront cost. You can validate workflows, test integrations, and move to paid plans when your workloads and team usage grow.
How does Dataflow compare to Astronomer in terms of pricing?+
Dataflow is designed to be more accessible for startups and small teams, with a free tier and lower-friction entry into production workflows. Astronomer is a strong Airflow-focused option but pricing often becomes higher as production requirements increase.
What is included in the Enterprise plan?+
Enterprise includes advanced governance and operational support such as RBAC, audit trails, secure secrets handling, and tailored deployment architecture. It is built for larger organisations that need compliance-aligned controls, onboarding support, and dedicated assistance.