About Mage
Mage Pro is an AI-native data engineering platform for building, deploying, and managing data pipelines. It features AI-assisted code generation, interactive development, and orchestration for batch and streaming workflows.
Mage is an AI-native data engineering platform designed to help data teams build, deploy, and manage data pipelines with increased velocity. By leveraging AI at every stage—from generating pipeline code via natural language prompts to providing intelligent code completion and automated documentation—Mage significantly reduces manual engineering effort. The platform offers a unified workspace where developers can mix and match Python, SQL, and R code, integrate dbt models, and manage complex data workflows. With support for both batch and real-time streaming, Mage provides a flexible foundation for modern data stacks. Its architecture emphasizes developer experience, featuring an interactive code editor, built-in version control, and robust observability tools. Mage offers multiple deployment options, including fully managed cloud services, hybrid cloud, and on-premises installations, catering to diverse security and compliance requirements. While the platform is highly extensible and allows for custom source/destination development, it is primarily targeted at data engineers and developers looking to streamline their data infrastructure and reduce operational overhead.
Pros & Cons
- Combines ingestion, transformation, orchestration, and monitoring.
- Offers both cloud-hosted and self-managed deployment options.
- Enables AI, ML, and LLM workflows in production environments.
- Provides strong observability and workflow monitoring tools.
- Reduces dependence on multiple separate data engineering tools.
- Advanced enterprise deployments may require careful planning.
- Custom workflows can become complex as projects scale.
- Organizations may need governance policies before adoption.
- Resource usage can increase with large-scale pipeline execution.
- Some enterprise features may require premium subscriptions.
Features
Key features
Automatically generates data pipelines and code blocks from natural language prompts to accelerate development.
Provides a visual code editor that allows developers to execute Python, SQL, and R code with real-time visual feedback.
Offers ready-to-use connectors for databases, SaaS APIs, and cloud storage to streamline data ingestion.
Enables the construction of streaming pipelines that process real-time data as it arrives using no-code configurations.
Automatically generates and maintains documentation for data pipelines to ensure clarity and compliance.
Additional features
Develop, build, test, run, document, manage, and monitor dbt models.
Use 100+ pre-defined boilerplate templates for loading, transforming, and exporting data.
Built-in data testing framework for conveniently writing tests within code blocks.
Launch multiple environments and manage shared team workspaces.
Git terminal interface with built-in authentication and shortcuts.
Monitoring dashboards for every pipeline and across the entire project.
Autoscaling code execution framework for running blocks during pipeline development.
Schedule, run, or re-run backfills multiple times across different windows of time.
Receive alerts through email, OpsGenie, Slack, Teams, Discord, Telegram, Google Chat, and PagerDuty.
Behavioral DNA editing with Global Hooks to inject custom logic at strategic points.
100+ production-ready API endpoints for programmatic control over the entire data ecosystem.
Pricing
Monthly plans
- AI sidekick
- 50K AI tokens
- 1+ cluster
Starts at $100/mo + compute ($0.29 per compute hr).
Source: vendor pricing page →- AI sidekick
- 250K AI tokens
- 1+ cluster
- 2+ workspaces
Starts at $500/mo + compute. (Run up to 15,000 blocks /mo1)
Source: vendor pricing page →- AI sidekick
- 2M AI tokens
- 2+ clusters
- 6+ workspaces
Starts at $2,000/mo + compute. (Run up to 50,000 blocks /mo)
Source: vendor pricing page →Countries & Languages
Interface languages
Billing currencies
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About Mage
Mage Pro is an AI-native data engineering platform for building, deploying, and managing data pipelines. It features AI-assisted code generation, interactive development, and orchestration for batch and streaming workflows.
Mage Details
Mage's In-App Market Place
Does Mage have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Plans
Monthly plans
- AI sidekick
- 50K AI tokens
- 1+ cluster
Starts at $100/mo + compute ($0.29 per compute hr).
Source: vendor pricing page →- AI sidekick
- 250K AI tokens
- 1+ cluster
- 2+ workspaces
Starts at $500/mo + compute. (Run up to 15,000 blocks /mo1)
Source: vendor pricing page →- AI sidekick
- 2M AI tokens
- 2+ clusters
- 6+ workspaces
Starts at $2,000/mo + compute. (Run up to 50,000 blocks /mo)
Source: vendor pricing page →Accepted Payment Currencies
USD ($)
Pros & Cons
- Combines ingestion, transformation, orchestration, and monitoring.
- Offers both cloud-hosted and self-managed deployment options.
- Enables AI, ML, and LLM workflows in production environments.
- Provides strong observability and workflow monitoring tools.
- Reduces dependence on multiple separate data engineering tools.
- Advanced enterprise deployments may require careful planning.
- Custom workflows can become complex as projects scale.
- Organizations may need governance policies before adoption.
- Resource usage can increase with large-scale pipeline execution.
- Some enterprise features may require premium subscriptions.
Mage's Support Options
Documentation
https://docs.mage.ai/production/mage/proMage's Alternatives
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