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
Mathematica
Score 7.0 out of 10
N/A
Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.
$1,520
per year
Pricing
Supermetrics
Wolfram Mathematica
Editions & Modules
Essential
$29
per month per user
Core
$159
per month per user
Standard Cloud
$1,520
per year
Standard Desktop
$3,040
one-time fee
Standard Desktop & Cloud
$3,344
one-time fee
Mathematica Enterprise Edition
$8,150.00
one-time fee
Offerings
Pricing Offerings
Supermetrics
Mathematica
Free Trial
Yes
No
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.
Discounts available for students and educational institutions. The Network Edition reduce per-user license costs through shared deployment across any number of machines on a local-area network.
More Pricing Information
Community Pulse
Supermetrics
Wolfram Mathematica
Considered Both Products
Supermetrics
Verified User
Anonymous
Chose Supermetrics
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 …
Projektspezialist bei Steffen Jäschke EinzUnt Physik, Berechnungen
Chose Mathematica
There is no other alternative that Maple from Maplesoft all over. There are other systems for mCAx that do not offer the richness and coverage of mathematical features. For example Matlab that restricts inself to matrice calculation and only the the right set of addon library …
Well, Mathematica is free at my university. As a graduate student, you can download and install Mathematica in your device after log in through your university email. Second, it has very nice platform. You can use Mathematica for many data analysis such as plotting, integration …
Matlab is an excellent tool, but it can't handle analytic manipulations in algebra, calculus and differential equations. Matlab is superior when it comes to a less steep learning curve. In terms of using only one tool for analytic and numerical calculations, Mathematica wins. …
Mathematica is good solution in some cases but doesn't perform well in other regions. Mathematica is good in solving mathematical problems but not performs well in machine learning areas. I would suggest to use TensorFlow or Keras for machine learning. Also it performs good for …
The ability to manipulate algebraic expressions, nested lists, and data structures in Mathematica was unequalled when I first did the comparison. Since then, I've stuck with Mathematica mostly because it's "the tool I know."
We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models.
Mathematica compares favorably to this alternative in terms of …
We selected Wolfram Mathematica as it offers lot of functionality that other products like MATLAB or sageMath do not have. And it also has advantages on the feature that it does share in common with other tools like sageMath, MATLAB etc. It is more powerful than MATLAB. It …
I think IBM Watson analytics is good alternative to Wolfram Mathematica. A few advantages of Mathematica over IBM Analytics is that Mathematica comes with a lot of inbuilt things like neural networks, predictive analysis geometry. And IBM analytics does not show the step by …
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.
We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.
Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
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.
The ability to manipulate algebraic expressions, nested lists, and data structures in Mathematica was unequalled when I first did the comparison. Since then, I've stuck with Mathematica mostly because it's "the tool I know."
Mathematica is our "go to" environment for developing solutions for our clients, so I suppose you could say that it is solely responsible for our revenues. On occasion we do use other platforms but Mathematica is a core component of our offer to clients.