Mage vs. Toad Data Point

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
Toad Data Point
Score 8.0 out of 10
N/A
Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query building and workflow automation.
$365
Pricing
MageToad Data Point
Editions & Modules
Hobby
$0
per user
Pro
$2,000
per month per user
Base Edition
$365
Pro Edition
$528
Offerings
Pricing Offerings
MageToad Data Point
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsContact vendor for pricing information.
More Pricing Information
Community Pulse
MageToad Data Point
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MageToad Data Point
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User Ratings
MageToad Data Point
Likelihood to Recommend
8.5
(2 ratings)
7.0
(10 ratings)
Usability
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
MageToad Data Point
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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Quest Software
Appropriate for general querying and some DBA work. It's the universal least-offensive solution for most environments - not best of breed, but not subject to unusual/extensive requirements. It just works. On the other hand, some functionality (e.g. data import/export, snippets) are perfunctory and minimal and seem to be either difficult or impossible to automate. If you need to streamline those operations, you'll be forced to rely on third-party solutions that mostly work on top of (instead of with) TOAD.
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Pros
Mage
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
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Quest Software
  • Export data into excel.
  • Export data into excel using a pivot table functionality.
  • Navigation between windows is intuitive and easy to understand.
  • Good for SQL novices and experts alike.
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Cons
Mage
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
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Quest Software
  • The workflow is a relatively new feature. Quest is adding additional functionality and the workflows are useful now.
  • Would be nice if the 'Automate' feature was a bit easier to use.
  • Would be nice if some of the SQL Editor features in the traditional interface worked better in the new workflow interface (although, these are being fixed with each release).
  • Would be nice if there were fewer releases.
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Usability
Mage
No answers on this topic
Quest Software
I find Toad Data Point easy to use for both the novice and the experienced business analyst. If all you desire is to access data and create spreadsheets...this is a snap. Toad Data Point actually has cool data analysis features built into it. The newer workflow interface makes automating steps a snap
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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.
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Quest Software
Although Toad and UltraEdit are both great products, from an SQL standpoint Toad is a much better editor and troubleshooter.
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Return on Investment
Mage
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
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Quest Software
  • It is the least common denominator - not particularly optimized for our environment or workflows.
  • Hangs or slowdowns add anywhere from 5% - 7% for projects utilizing large/complicated data setts. (This could be due to other IT-imposed constraints and not entirely due to TOAD.)
  • Trying to perform some operations requires reading documentation and experimenting in order to figure out the TOAD-specific approaches and commands.
  • It just works (when we understand it). Updates don't break things and things don't suddenly start behaving differently. Best of all, we don't mysteriously lose functionality.
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