$0.29 per compute hr 2
Billed per pipeline runtime: 1 CPU hour or 4 GB RAM hour, whichever comes first.
AI sidekick
Context-aware coding and instant debugging
50K AI tokens
Assisted coding and suggestions
1 environment
Prod to build and run workflows
Run up to 10,000 blocks /mo1
Prototypes and light workloads
AI sidekick
Context-aware coding and instant debugging
250K AI tokens
Assisted coding and suggestions
1 environment
Prod to build and run workflows
2 workspaces
For collaborative team development
Run up to 40,000 blocks /mo1
Automate your data stack
AI sidekick
Increased limits, faster responses, and more
2M AI tokens
Build faster with smart AI sidekick
2 environments
Dev and prod for safer workflows
6 workspaces
A space for each pro
What is a block run?
Each block run is one execution of a modular step in a pipeline. For example, if a pipeline has 5 blocks and you run it once, that counts as 5 block runs.
Deployment Types
Included
Managed cloud
Fully hosted with zero infrastructure management
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Hybrid cloud
Control plane in Mage’s cloud, data processing in your private cloud
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Private cloud
Full platform deployed in your cloud, with complete control over all components
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On-premises
Deployed in your data center for maximum data sovereignty and infrastructure control
Regional Deployment
Hands-on Support
Included
The basics
Get up and running like magic
$20k/yr
Essentials service
Core assistance to keep your operations running around the clock.
$100k/yr
Extended service
Expanded support hours for when your workflows need extra coverage.
$250k/yr
Complete service
Broad access to expert help, covering extended and critical times.
Your AI data engineer
Get started today
1 Block runs are available each month and do not roll over.
2 On-demand usage charges only apply when running pipelines with the Kubernetes (k8s) executor, designed for jobs that need more than 8GB RAM or horizontal scaling. If using the default local_python executor there are no additional usage costs.