We are happy to share some insights about AWS drawn from our latest market research, Ventana Research Buyers Guide: Analytics and Data, which assesses how well vendors’ offerings meet buyers’ requirements.
We recently published five Ventana Research 2023 Analytics and Data Buyers Guides, an assessment of technology vendors and products that provide individual and combined
At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for analytics and data platforms for any use in your organization. We developed five technology assessments and buyers guides to focus on overall analytics and data requirements as well as specific augmented analytics, collaborative analytics, mobile analytics and embedded analytics use-cases.
In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and data. We evaluated AWS and 21 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our benchmark research on analytics and data.
In the overall Analytics and Data Buyers Guide, our analysis classified AWS as a vendor of Merit, placing 16th overall at 55.1%. AWS’s best performance came in Customer Experience at 48.5%, ranking 13th, due in part to its
AWS’s Product Experience was impacted by its 56.3% performance in Reliability and its 58.4% performance in Adaptability, where it could provide more performance metrics and notifications to customers as well as better integration with other business processes. Customer Experience was impacted by its 46.0% performance in TCO/ROI, where it could provide more documentation and tools to support TCO/ROI analyses.
AWS performed best in Customer Experience, notably in Validation, where its 51.0% performance was due to its material documenting customer benefits. In addition, AWS’s use of NLP and rapid training led to its 61.1% performance in Usability. In Capability, AWS provides access to most of the data sources we evaluate and was among the best in automating some of the data modeling. AWS also supports the majority of the visualizations we evaluate.
In the Augmented Analytics Buyers Guide, our analysis classified AWS as a vendor of Merit, placing 15th overall at 53.6%. AWS’s best performance came in Customer Experience at 48.5%, ranking 13th, due in part
AWS’s Product Experience was impacted by its 52.0% performance in Capability, where it could provide more voice capabilities in the use of its product. Customer Experience was impacted by its 46.0% performance in TCO/ROI, where it could provide more documentation and tools to support TCO/ROI analyses.
AWS performed best in Product Experience, notably in Usability, where its 61.1% performance was due in part to its AWS’s rapid training and use of NLP with multilingual capabilities. In Capability, AWS provides assistance with several data-related tasks and also does a good job with personalization to individual users. The product also provides suggestions for visualizations based on the data Additionally, AWS’s application configuration and customization capabilities led to its 58.4% performance in Adaptability.
In the Collaborative Analytics Buyers Guide, our analysis classified AWS as a vendor of Merit, placing 19th overall at 47.4%. AWS’s best performance came in Customer Experience at 48.5%, ranking 13th, due in part to its
AWS’s Product Experience was impacted by its 33.5% performance in Capability, where it lacks functionality to comment on analyses or track tasks associated with analytics processes. Customer Experience was impacted by its 46.0% performance in TCO/ROI, where it could provide more documentation and tools to support TCO/ROI analyses.
AWS performed best in Product Experience, notably in Usability, where its 61.1% performance was due in part to its AWS’s use of NLP and rapid training. In addition, AWS’s application configuration and customization capabilities led to its 58.4% performance in Adaptability. In Capability, users can easily share analyses including monitoring, alerts and subscriptions. In Validation, AWS provides good breadth and depth in its case studies.
In the Embedded Analytics Buyers Guide, our analysis classified AWS as a vendor of Merit, placing 17th overall at 58.2%. AWS’s best performance came in Customer Experience at 48.5%, ranking 13th, due in part to its
AWS’s Product Experience was impacted by its 56.3% performance in Reliability and its 58.4% performance in Adaptability, where it could provide more performance metrics and notifications to customers and better integration with other business processes. Customer Experience was impacted by its 46.0% performance in TCO/ROI, where it could provide more documentation and tools to support TCO/ROI analyses.
AWS performed best in Customer Experience, notably in Validation, where its 51.0% performance was due to the amount and quality of material documenting customer benefits. In Capability, AWS performed well in customization and integration. Additionally, AWS’s use of NLP and rapid training led to its 61.1% performance in Usability.
In the Mobile Analytics Buyers Guide, our analysis classified AWS as a vendor of Merit, placing 18th overall at 55.7%. AWS’s best performance came in Customer Experience at 48.5%, ranking 13th, due in part to its 11th-place
AWS’s Product Experience was impacted by its 56.3% performance in Reliability and its 58.4% performance in Adaptability, where it could provide more performance metrics and notifications to customers as well as better integration with other business processes. Customer Experience was impacted by its 46.0% performance in TCO/ROI, where it could provide more documentation and tools to support TCO/ROI analyses.
AWS performed best in Customer Experience, notably in Validation, where its 51.0% performance was due to its material documenting customer benefits. In addition, AWS’s use of NLP and rapid training led to its 61.1% performance in Usability. In Capability, AWS provides good interactivity and supports a wide variety of visualizations in its mobile application. It also can deliver notifications to mobile devices.
This assessment was based on Amazon QuickSight, Version July 2023, and was available in July of 2023.
This research-based index is the most comprehensive assessment of the value of analytics and data software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports:
Analytics and Data Buyers Guide
Augmented Analytics Buyers Guide
Collaborative Analytics Buyers Guide
Embedded Analytics Buyers Guide