Mage AI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mage AI
Score 8.6 out of 10
N/A
Mage AI is a cloud-native Data Pipeline orchestration platform designed to facilitate the development, deployment, and management of data-intensive applications. The system provides a managed environment for building modular data workflows that integrate with existing cloud infrastructure and AI developer toolchains.
$0
per user
Pricing
Mage AI
Editions & Modules
Hobby
$0
per user
Pro
$2,000
per month per user
Offerings
Pricing Offerings
Mage AI
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level Setup FeeOptional
Additional DetailsContact vendor for pricing information.
More Pricing Information
Community Pulse
Mage AI
Considered Both Products
Mage AI
Chose Mage AI
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
Best Alternatives
Mage AI
Small Businesses

No answers on this topic

Medium-sized Companies
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Score 8.5 out of 10
Enterprises
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Score 8.5 out of 10
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User Ratings
Mage AI
Likelihood to Recommend
8.5
(2 ratings)
User Testimonials
Mage AI
Likelihood to Recommend
Mage
Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
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Pros
Mage
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
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Cons
Mage
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
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Alternatives Considered
Mage
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
Read full review
Return on Investment
Mage
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
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