Quantemplate vs. Toad Data Point

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Quantemplate
Score 0.0 out of 10
Enterprise companies (1,001+ employees)
Quantemplate's data integration, automation and analytics platform aims to turn insurance data sources into trusted insights. It is presented as a data preparation solution for insurance professionals, automating data clean-up, then performing calculations, augmenting with external data and doing validation checks – all without writing a single line of code. The vendor describes its benefits: Comprehensive: full data transformation feature set with over 50…N/A
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
QuantemplateToad Data Point
Editions & Modules
No answers on this topic
Base Edition
$365
Pro Edition
$528
Offerings
Pricing Offerings
QuantemplateToad Data Point
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsCustom pricing tailored to your needs. Setup and support from insurance experts. ‘Proof of Concept’ projects available. Fastest time to deployment with SaaS platform. No hidden server or IT costs.
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Community Pulse
QuantemplateToad Data Point
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
QuantemplateToad Data Point
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All AlternativesView all alternativesView all alternatives
User Ratings
QuantemplateToad Data Point
Likelihood to Recommend
-
(0 ratings)
7.0
(10 ratings)
Usability
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
QuantemplateToad Data Point
Likelihood to Recommend
Quantemplate
No answers on this topic
Quest
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
Quantemplate
No answers on this topic
Quest
  • 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
Quantemplate
No answers on this topic
Quest
  • 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
Quantemplate
No answers on this topic
Quest
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
Quantemplate
No answers on this topic
Quest
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
Quantemplate
No answers on this topic
Quest
  • 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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ScreenShots

Quantemplate Screenshots

Screenshot of Column Header Mapping: Standardise schemas across dozens of incoming datasets in seconds, assisted by Machine LearningScreenshot of Fuzzy matching: Automate the mapping of company names, addresses, occupancy/construction codes and more with Automap ValuesScreenshot of Validations: have confidence in your data by building automated data validation checks to profile the quality of incoming data and assure quality of outputScreenshot of Analytics: Drag-and-drop tools to pivot, filter and chart your data, then assemble into high-finish customisable reports.