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Azure is like the other Microsoft products, good and user-friendly, but not the most efficient thing in the world
February 16, 2019

Azure is like the other Microsoft products, good and user-friendly, but not the most efficient thing in the world

Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Microsoft Azure

Microsoft Azure is used by departments to manage larger data sets across entities. The software addresses the need for multiple users to have access to multiple different data sets simultaneously. The software makes this relatively easy by making Microsoft Azure similar to the user-friendliness of other Microsoft products. Users point their analytical tools at Azure for data visualization and analytics. Some analytics is also done in Azure itself.
  • Perhaps the biggest advantage of Microsoft Azure is its ease of integration with other Microsoft products. If you're used to using Excel, Access, SQL Server, and other Microsoft products, Azure will fit in nicely.
  • Azure does a good job at pointing the user into user-friendly methods for data capture and analysis. In fact, I think Azure does the best job at this compared to competing tools.
  • Microsoft Azure has recently made strides in implementing advanced analytics, such as machine learning. Their advances are great and integrate nicely with the tool.
  • Microsoft Azure's movement into machine learning and other advanced analytics are somewhat behind the curve. Other tools that have been doing this for a long time have set up easier user interfaces.
  • Azure seems to run slower than other big data housing tools. I think this might be because of Microsoft's attempt to make Azure more user-friendly.
  • I think Azure could improve its product by making it even more like Microsoft Excel. I know that's not what Azure if for, but hey, it's Microsoft, they could make it more spreadsheet-ish.
  • In the sense that capturing big data makes a difference to the bottom line, as it has for my business objective, the implementation of Microsoft Azure was a positive ROI. I feel like I've moved into the 21st Century with Azure.
  • For analysts that have a long history of using Excel and Access, Azure has a bit of a learning curve. We're all on the learning in one sense, just some are still on the steeper part of the learning curve after a few months.
  • Microsoft Azure has been a positive ROI in that it has afforded users the ability to create real-time updating visualizations and analytics, something that should be second nature in the analytics field by now.
The advantage of Microsoft Azure compared to competing tools is that Azure integrates nicely with the other Microsoft tools. Another advantage of Azure is that it has attempted to be quite user-friendly. The disadvantage of Azure is that it is relatively slow compared to these other tools. It also generally has fewer advantages analytics compared to the higher-end big data hosting tools.
Of all the big data warehousing tools I have used, Microsoft Azure was the easiest to learn and implement on big data warehousing. Microsoft Azure is well suited for situations where you have multiple users needing access to multiple datasets simultaneously. It's also useful for situations where you want to capture very large data sets on a continuous basis.