Mage

0.0(0 reviews)

Software Status:Active

Free trial

Web

345 Park Ave, San Francisco, CA 94105

Email · Phone

All Countries

About Mage

Mage is an AI-native data engineering platform that enables data teams to build, deploy, and manage data pipelines through an intuitive interface. It integrates AI to automate pipeline creation, code generation, and data analysis, supporting batch, streaming, and data integration workflows.

Mage Details

Vendor

Mage AI

Year Launched

Location

345 Park Ave, San Francisco, CA 94105

Deployment

cloud, on premise, web browser

Training Options

documentation, demo, community

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Japanese, Korean, Portuguese, Russian, Chinese

Users

Data Engineers, Data Scientists, Analytics Engineers, Software Developers

Industries Served

Healthcare, Retail, Finance, Education

Mage's In-App Market Place

Does Mage have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

1. Adobe Sensei: A set of AI and machine learning algorithms that helps improve predictive analytics and enhance overall data analysis capabilities within Mage.

2. BrightTarget for Adobe: A powerful predictive analytics tool that leverages customer data to predict future behaviors

personalize content

and optimize marketing strategies.

3. Monetate Personalization Engine: A highly customizable personalization platform that integrates seamlessly with Mage to deliver targeted content

offers

and recommendations based on predictive analytics.

4. SAS Predictive Analytics: A robust analytics solution that enables users to build

validate

and deploy predictive models directly within Mage

allowing for advanced forecasting and decision-making.

5. IBM SPSS Modeler: An intuitive data mining and predictive analytics solution that helps users uncover patterns

trends

and insights from their Mage data to drive business growth and optimize performance.

Pricing Options

Free trial

Free version

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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥)

Pros & Cons

AI-driven code generation and pipeline building significantly reduce development time.
Unified platform supports batch, streaming, and dbt-based data modeling.
Flexible deployment options include cloud, hybrid, and on-premises configurations.
Interactive code editor provides immediate visual feedback during development.
Extensive library of 100+ data connectors simplifies ingestion from diverse sources.

Steep learning curve for teams transitioning from traditional, non-AI-assisted data engineering tools.
Advanced features and full platform capabilities are primarily gated behind the Mage Pro offering.
Requires technical proficiency in Python or SQL to fully leverage custom transformation capabilities.