Mage vs. QuickBI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mage
Score 8.6 out of 10
N/A
Mage is a tool that helps product developers use AI and their data to make predictions. Use cases might be predictions for churn prevention, product recommendations, customer lifetime value and forecasting sales.
$0
per user
QuickBI
Score 0.0 out of 10
N/A
A data pipeline solution used to connect data rapidly. QuickBI offers over 300 data connectors and maintains a data warehouse so that users get needed data with only a few quicks. Features of the tool include: Daily data sync frequency BigQuery data warehouse 12 months to unlimited history retention Over 300 data sources Fully managed BigQuery data warehouse included in all plans Connects with BI tools (e.g. Power BI, Tableau, Looker…
$99
per month
Pricing
MageQuickBI
Editions & Modules
Hobby
$0
per user
Pro
$2,000
per month per user
Basic
€99
per month
Pro
€250
per month
Enterprise
Custom
Offerings
Pricing Offerings
MageQuickBI
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsContact vendor for pricing information.
More Pricing Information
Community Pulse
MageQuickBI
Best Alternatives
MageQuickBI
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Enterprises
Control-M
Control-M
Score 9.3 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MageQuickBI
Likelihood to Recommend
8.5
(0 ratings)
-
(0 ratings)
User Testimonials
MageQuickBI
Likelihood to Recommend
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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No answers on this topic
Pros
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
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Cons
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
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Alternatives Considered
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.
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Return on Investment
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
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No answers on this topic
ScreenShots