Mage AI

Name: Mage AI
Brand: Mage
Price: 100 USD

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Run AI-ready data engineering workflows that are current, reliable, and reusable.

From $100/mo, billed monthly

Paid Developer Tools AI & Automation ETL & Data Pipelines Workflow Automation

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Tracked since 2026

The Bottom Line

Updated Oct 16, 2026

Price: From $100/mo, billed monthly. Compare plans

Key facts

Automates data pipelines and AI workflows for production with unified execution.
Transforms workflows into reusable, versioned, and reliable AI-ready data outputs.
Offers AI assistance for building, debugging, and optimizing data workflows.

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.

What is Mage AI?

Mage AI is a data engineering platform designed to automate pipelines and AI workflows for production environments. It provides a unified execution system for ingestion, transformation, and automation, ensuring reliability and reproducibility. Mage AI focuses on creating AI-ready data by turning workflows into reusable, versioned data outputs with preserved execution states and history, making them trustworthy for downstream applications. The platform caters to data-driven teams looking to build internal platforms, run critical systems, and power AI systems with reliable data. It integrates seamlessly into existing data stacks, connecting to various data sources and allowing execution of SQL, dbt, Python, and R code. Mage AI also incorporates AI assistance for workflow creation, code generation, debugging, and validation, aiming to accelerate development and reduce operational overhead.

Available on: Web

Data compiled by Toolradar Pricing checked Oct 16, 2026 · How we evaluate

Source mage.ai

Preview

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 Plans

Pricing checked Oct 16, 2026. Source: mage.ai/pricing, read Oct 16, 2026

Mage AI plans and prices, checked October 2026
Plan	Price	Details
Starter	$100 / mo	50K AI tokens Assisted coding and suggestions 1+ cluster +3 more Show less Prod to build and run workflows AI sidekick Context-aware coding and instant debugging
Team	$500 / mo	Run up to 15,000 blocks /mo Prototypes and light workloads AI sidekick +7 more Show less Context-aware coding and instant debugging 250K AI tokens Assisted coding and suggestions 1+ cluster Prod to build and run workflows 2+ workspaces For collaborative team development
Plus	$2,000 / mo	Run up to 50,000 blocks /mo Automate your data stack AI sidekick +7 more Show less Increased limits, faster responses, and more 2M AI tokens Build faster with smart AI sidekick 2+ clusters Dev and prod for safer workflows 6+ workspaces A space for each pro
Business	$5,500 / mo	200k block runs per month 10M AI tokens per month 9.5k core hours per month +3 more Show less 46.5k GB hours per month 3+ clusters 15+ workspaces
Enterprise	$25,000 / mo	700k block runs per month 50M AI tokens per month 32.5k core hours per month +3 more Show less 235k GB hours per month 8+ clusters 100+ workspaces

Calculate your cost View full pricing

Is Mage AI worth the price?

Fair value

Mage AI's pricing is on the higher side, especially for smaller teams or individuals.

The Starter tier at $100/month offers limited AI tokens, making it potentially expensive for those needing more AI assistance. The value proposition significantly improves at the Plus and Business tiers for larger organizations with substantial AI token and block run requirements.

Full Mage AI pricing: every plan, hidden costs and alternatives

How Mage AI's pricing compares

At $100/mo, billed monthly, Mage AI is mid-range of its 2 comparable direct competitors ($9 to $100/mo across the set).

Docker

Mage AI

$100

dbt

$100

Entry paid plan, monthly price, billed monthly. Pricing checked Oct 16, 2026.

Mage AI by the numbers

Toolradar data: Mage AI's entry paid plan ($100/mo, billed monthly) ranks #15 of 30 (joint) for price among the ETL & Data Pipelines tools with a verified entry price and no stated unit, where the median is $100/mo. As of Oct 2026.

Mage AI compared with 109 ETL & Data Pipelines tools on Toolradar, as of Oct 2026
Metric	Mage AI	Peer median	Position (1 is best)
Entry paid plan	$100/mo, billed monthly	$100/mo	#15 of 30 (joint) tools with no stated price unit, verified price
Free plan	No	61% have one	n/a
Listed as an alternative to	1 tool	2	#56 of 109 (joint)

Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All ETL & Data Pipelines data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “Mage AI by the numbers”, Oct 2026.

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Best Mage AI Alternatives

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All Mage AI alternatives 6+ tools ranked, pricing + verdict per pick Mage AI vs Docker Head-to-head: features, pricing, who wins Mage AI vs Apache Kafka Head-to-head: features, pricing, who wins Mage AI vs dbt Head-to-head: features, pricing, who wins

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Mage AI FAQ

How does Mage AI ensure data reliability and reproducibility for critical production systems?

Mage AI achieves reliability by running workflows as isolated, modular units with explicit inputs and outputs, containing failures. Each data output is backed by a preserved execution state and history, allowing for inspection, reproduction, and recovery as data and logic evolve. Outputs are also versioned and addressable, ensuring downstream workflows and AI agents can reuse trusted context.

What specific AI capabilities does Mage AI offer to assist in building and managing data workflows?

Mage AI provides an AI sidekick that enables workflow creation using natural language descriptions. It offers AI-assisted code generation, refactoring, and optimization. The AI also performs automatic validation and debugging, spotting errors, ensuring correctness, and suggesting fixes, and guides updates as data and requirements change.

Can Mage AI integrate with existing data warehouses and tools like dbt?

Yes, Mage AI is designed to fit cleanly between data sources and consumers. It can ingest data from databases, warehouses, lakes, SaaS tools, and APIs. It supports running SQL, dbt, Python, and R code within its execution environment, allowing teams to produce trusted metrics across these workflows.

What are the deployment options available for Mage AI, particularly for organizations with strict data residency requirements?

Mage AI offers several deployment options: a fully managed cloud service, hybrid cloud (control plane in Mage's cloud, data processing in private cloud), private cloud (full platform in your cloud), and on-premises deployment in your data center. These options, along with regional deployment choices and custom region availability, cater to data residency and sovereignty needs.

How does Mage AI's 'block run' metric for pricing work, and when do additional compute charges apply?

A 'block run' is one execution of a modular step within a pipeline. If a pipeline has 5 blocks and runs once, it counts as 5 block runs. On-demand compute charges (billed per CPU or RAM hour) primarily apply when using the Kubernetes (k8s) executor for jobs requiring more than 8GB RAM or horizontal scaling. The default local_python executor typically incurs no additional usage costs.

How does Mage AI pricing compare with other ETL & Data Pipelines tools?

Mage AI's entry paid plan ($100/mo, billed monthly) ranks #15 of 30 (joint) for price among the ETL & Data Pipelines tools with a verified entry price and no stated unit, where the median is $100/mo. Prices are read on each vendor's own pricing page and compared only with tools priced on the same basis. Source: Toolradar, Oct 2026.

Source: mage.ai

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