Shiny allows users to create data visualization apps, and is designed to be easy to write with. These apps let users interact with data and analyses with R or Python.
N/A
Supermetrics
Score 9.7 out of 10
N/A
Supermetrics, from the company of the same name in Helsinki, offers an application which automates integration of data from multiple online advertising platforms (e.g. Facebook, Google Analytics and Adwords, Bing, etc) and supports customizable presentations and visualizations of the aggregated data to make cross-platform comparisons and summaries easier for marketers.
$29
per month per user
Pricing
Shiny
Supermetrics
Editions & Modules
No answers on this topic
Essential
$29
per month per user
Core
$159
per month per user
Offerings
Pricing Offerings
Shiny
Supermetrics
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
In addition to the basic licensing tiers, Supermetrics offers customized packages according to customer needs.
More Pricing Information
Community Pulse
Shiny
Supermetrics
Considered Both Products
Shiny
Verified User
Anonymous
Chose Shiny
Whilst dashboarding may be comparable with some of the other products we evaluated. Nothing compared to the analytical capabilities on offer with Shiny. An added advantage was that we had colleagues knowledgeable in R which meant bringing in Shiny and getting to grips with it …
Shiny is much cheaper to use than Tableau Desktop and Microsoft Power BI. It's not as fancy, and maybe not as effective, but you save lots of money by using Shiny over the previously listed alternatives. The graphs and charts you can make in Shiny are very good for …
Both Tableau and Power BI are easier to learn and allow you to develop dashboards in a faster and more intuitive way, but both have limitations in what you can do with them and if you want to do something more specific it is always more complicated. RStudio is much more …
Shiny can be a good tool in academic but its not upto standard of TMT industry but could possibly be useful in life science industry (which is where its more prevalent usually), its good as its mostly free (not including cost of servers and compute). I would rank its …
Shiny allows easy and fast development of a product into production whereas Jupyter Notebook can be broken really easily by a user. The idea of having a specific server that works with that model is very practical and it's a good advantage. In the contrary, the quantity of …
Supermetrics is better because of its ease of use and it mirrors most of the metrics on ad platforms. For some similar reporting platforms, metrics are often called something slightly different or are not able to pull the same data as presented on the ad platform; Supermetrics …
Supermetrics is more simple to set up and start using. It is also more lightweight - with a simple UI and use-case that prevents distraction or unnecessary features interfering with the core use-case.
Google Analytics has the ability to send reports similar to Supermetrics, but the disadvantage is that it can send only a limited number of rows. The report sent has to be consolidated and then used. Instead, Supermetrics allows to edit the way of reporting easily through the …
I use both of these services, but Supermetrics has more offerings than the base APIs provided by Google Data Studio. Supermetrics also allows for non-Google product APIs that have helped us develop much richer reports and tools. Also, for the paid APIs that can be used in Data …
We transitioned from DashThis to Google Data Studio with Supermetrics for our monthly client reports. We found this new solution to be more flexible and customizable. We liked DashThis, however, too.
Supermetrics is definitely the most sophisticated and adaptable of the tools. It provides the most in-depth metrics reporting, the most accurate reporting, and the most detailed reporting across all of our platforms and campaigns. It is definitely worth the cost, if your …
Shiny is very good for developing dashboards or web applications with specific functionalities. But it is not so easy to use to develop from scratch, it is always better to use another tool to have a general idea of what is expected of a dashboard and then develop the most specific functionalities in Shiny. It is much more flexible than other tools and that is why I consider it to be better for most cases, only that it is more complex to develop or has a longer learning curve.
If you are looking to pull and aggregate data from multiple sources for reporting or analytics, Supermetrics is the best option for connecting those data sources into a single table. Supermetrics is less beneficial if you report on a single data source or do not need to aggregate your data into a single source.
Whilst dashboarding may be comparable with some of the other products we evaluated. Nothing compared to the analytical capabilities on offer with Shiny. An added advantage was that we had colleagues knowledgeable in R which meant bringing in Shiny and getting to grips with it was a lot more seamless and welcomed by the end users.
Supermetrics is better because of its ease of use and it mirrors most of the metrics on ad platforms. For some similar reporting platforms, metrics are often called something slightly different or are not able to pull the same data as presented on the ad platform; Supermetrics is the closest you'll get to exact data alignment.