Host on Your Own Cloud or Leverage Dataflow's Cloud
Host on your own cloud
Host on dataflow cloud
Cloud Hosted
(Shared Infra)
$
0
+
$ 0.99 /hour Small
2vCPU
8 GiB
$ 1.99 /hour Medium
4vCPU
16 GiB
$ 2.99 /hour Large
8vCPU
32 GiB
Standard
(Dedicated Infra)
$
499
+
$ 0.49 /hour Small
2vCPU
8 GiB
$ 0.99 /hour Medium
4vCPU
16 GiB
$ 1.99 /hour Large
8vCPU
32 GiB
Most Popular
Custom Setup
Transparent pricing
Bespoke licensing cost
Flexible Support pricing
Cloud cost on actuals
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Prefer visual learning? Browse our library of step-by-step tutorials covering everything from connecting Snowflake to deploying your first GenAI pipeline.
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What our users are saying about us.
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."
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."
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."
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."
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."
