TrustRadius

AWS Data Pipeline vs. Mage AI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Pipeline
Score 6.0 out of 10
N/A
AWS Data Pipeline is a web service used to process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, users can regularly access data where it’s stored, transform and process it at scale, and transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline is designed to help create complex data processing workloads that are fault tolerant,…N/A
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
AWS Data PipelineMage AI
Editions & Modules
No answers on this topic
Hobby
$0
per user
Pro
$2,000
per month per user
Offerings
Pricing Offerings
AWS Data PipelineMage AI
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details—Contact vendor for pricing information.
More Pricing Information
Community Pulse
AWS Data PipelineMage AI
Best Alternatives
AWS Data PipelineMage AI
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10

No answers on this topic

Medium-sized Companies
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Maia by Matillion
Maia by Matillion
Score 8.5 out of 10
Enterprises
Control-M
Control-M
Score 9.4 out of 10
Maia by Matillion
Maia by Matillion
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data PipelineMage AI
Likelihood to Recommend
10.0
(1 ratings)
8.5
(2 ratings)
User Testimonials
AWS Data PipelineMage AI
Likelihood to Recommend
Amazon AWS
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
Vaibhav Wadikar | TrustRadius Reviewer
Vaibhav Wadikar
Data Engineer
Read full review
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.
Verified User
Anonymous
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Pros
Amazon AWS
  • Helps you easily create complex data processing workloads
  • Fault tolerant
  • Highly available
Vaibhav Wadikar | TrustRadius Reviewer
Vaibhav Wadikar
Data Engineer
Read full review
Mage
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
Verified User
Anonymous
Read full review
Cons
Amazon AWS
  • Pipeline Stuck in Pending Status
  • Pipeline Component Stuck in Waiting for Runner Status
  • EMR Cluster Fails With Error
Vaibhav Wadikar | TrustRadius Reviewer
Vaibhav Wadikar
Data Engineer
Read full review
Mage
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
Verified User
Anonymous
Read full review
Alternatives Considered
Amazon AWS
AWS data pipelines are easy to use over data factory for data engineers
Vaibhav Wadikar | TrustRadius Reviewer
Vaibhav Wadikar
Data Engineer
Read full review
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.
Verified User
Anonymous
Read full review
Return on Investment
Amazon AWS
  • Easy to use
  • Data engineers are able to create the data pipelines quickly and effectively
  • Scalable and Fault tolerant
Vaibhav Wadikar | TrustRadius Reviewer
Vaibhav Wadikar
Data Engineer
Read full review
Mage
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
Verified User
Anonymous
Read full review
ScreenShots