AWS Lake Formation vs. Quantemplate

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Lake Formation
Score 7.0 out of 10
N/A
AWS Lake Formation is a service designed to make it easy to set up a secure data lake in days. Creating a data lake with Lake Formation consists of defining data sources and what data access and security policies desired.N/A
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
Pricing
AWS Lake FormationQuantemplate
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Lake FormationQuantemplate
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
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.
More Pricing Information
Best Alternatives
AWS Lake FormationQuantemplate
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 9.1 out of 10
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Score 9.1 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
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User Testimonials
AWS Lake FormationQuantemplate
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.