Mage AI
Mage AI is a data engineering platform designed to automate pipelines and AI workflows for production environments.
Our verdict
Who it's for
Run AI-ready data engineering workflows that are current, reliable, and reusable.
Who should look elsewhere
Pricing model based on block runs and AI tokens may require careful monitoring for cost management.
Pros
- +Ensures data reliability and reproducibility for AI systems.
- +Accelerates workflow development with AI assistance and automation.
- +Reduces operational overhead and total cost of ownership by consolidating tools.
- +Supports a wide range of data sources and programming languages (SQL, dbt, Python, R).
- +Offers flexible deployment options to meet various infrastructure and compliance needs.
Cons
- −Pricing model based on block runs and AI tokens may require careful monitoring for cost management.
- −The platform's advanced features might have a learning curve for new users.
Key features
- ✓Unified execution for ingestion, transformation, and automation
- ✓Modular runtime for isolated workflow units and contained failures
- ✓Versioned and addressable data outputs with preserved execution history
- ✓Native batch, sync, and streaming data processing
- ✓Schema-aware ingestion and validation
- ✓AI-assisted workflow creation with natural language
- ✓AI-assisted code generation, refactoring, and optimization
- ✓Automatic validation and debugging with AI suggestions
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Starter | $100 | month | 50K AI tokens; Assisted coding and suggestions; 1+ cluster |
| Team | $500 | month | Run up to 15,000 blocks /mo; Prototypes and light workloads; AI sidekick |
| Plus | $2000 | month | Run up to 50,000 blocks /mo; Automate your data stack; AI sidekick |
| Business | $5500 | month | 200k block runs per month; 10M AI tokens per month; 9.5k core hours per month |
| Enterprise | $25000 | month | 700k block runs per month; 50M AI tokens per month; 32.5k core hours per month |