Adverity vs. Mage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Adverity
Score 7.7 out of 10
N/A
Adverity is a fully-integrated data platform for automating the connectivity, transformation, governance & utilization of data at scale.N/A
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
Pricing
AdverityMage
Editions & Modules
No answers on this topic
Hobby
$0
per user
Pro
$2,000
per month per user
Offerings
Pricing Offerings
AdverityMage
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalOptional
Additional DetailsContact vendor for pricing information.
More Pricing Information
Best Alternatives
AdverityMage
Small Businesses
Skyvia
Skyvia
Score 9.7 out of 10
Skyvia
Skyvia
Score 9.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.9 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AdverityMage
Likelihood to Recommend
8.0
(2 ratings)
8.5
(2 ratings)
User Testimonials
AdverityMage
Likelihood to Recommend
Adverity
Adverity is particularly useful if there is a large range of data sets that you want to combine to get an 'overall' view. Previously we had used Google Analytics, but found that this was too useful for our big client accounts that we were working on. So I think that if there is an individual who is responsible for analytics or data, and also a paid media team then this is a tool which is essential. For companies that have limited activity then I think this tool could potentially over-complicate for less reward.
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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
Adverity
  • User-friendly report setup and ingestion
  • Easy integration with multiple data endpoints, making it easy for users to drive value
  • Incredible customer support, allowing users (regardless of technical background) to act like power-users
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Mage
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
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Cons
Adverity
  • I think it would have been more user friendly if there was more labelling capabilities, so that when you are sharing the dashboard they would explain what the data is - rather than depending on someone knowing how to use the dashboards or being there to explain it.
  • Our teams found that some of the scheduling functionality could be a little big buggy, so this was something that needed extra care and attention, so therefore may be an area that needs to be improved (unless it was just our account and usage).
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Mage
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
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Alternatives Considered
Adverity
Frankly, the service, UI, and ease-of-use for Adverity made it a no brainer compared to competiton.
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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.
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Return on Investment
Adverity
  • This tool has allowed us to be able to see areas for opportunities, when all of the data has been combined
  • We were also able to better prioritise actions and where to focus our attention, when we had one view where all of the data was together. This allowed us to deliver better results for our clients, and also have a clearer roadmap of activity
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Mage
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
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ScreenShots