Geckoboard enables users to create real time dashboards using data from over 80 cloud services. It integrates with other products such as: AWeber, Basecamp, Campaign Monitor and HubSpot.
$35
per month
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
Geckoboard
Wolfram Mathematica
Editions & Modules
Starter
$35
per month
Team
$159
per month
Team Plus
$275
per month
Company
$599
per month
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
Geckoboard
Mathematica
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
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
Geckoboard
Wolfram Mathematica
Considered Both Products
Geckoboard
Verified User
Anonymous
Chose Geckoboard
We are a Google shop and our Analytics and Reporting team have and use GDS. However, Geckoboard can output some of the same types of data (albeit maybe not as granular) and can be used by a wide swath of our users (including project managers, account execs, developers, etc.). …
I find Geckoboard and Klipfolio to be in parallel in terms of performance and presentation. I will say that Klipfolio pulls slightly ahead as it allows for custom branding (great when sharing data with external stakeholders) and having access/edit control based on roles.
Business Analyst (Business Development/Market Valuation)
Chose Geckoboard
Geckoboard is a great dashboard that offers value and simplicity. It is easy to train and use right away. The other systems are more expensive but offer more details.
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 …
A beautiful UI, with visuals that interest even those that hate staring at data. It's well suited for small to medium-sized businesses/corporations in which high-level sharing of data between teams is required -- the larger the distance between teams, the better as it's a great tool for level-setting on complex data. It would be less appropriate for small businesses, or those that do not need to summarize complex data to share with those not familiar with the data 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.
With a simple interface and available templates, creating basic dashboards is easy. Obviously depending on the data you want to visualize, there may be higher learning curves. That being said, they have a huge amount of integrations and extensible frameworks. If you are using anything made in the past ten years there is an API function or integration that can get it talking to the platform. As such, it's pretty easy to hit the main data points you want and get it on a cheap display in front of your team.
The support levels vary based on the level of plan that you have but that's to be expected. Virtually everything except the Enterprise plan has basic chat/email support. While they are responsive they are not going to be much assistance in helping you figure out API calls or implementing 3rd party integrations. That is to be expected and the support community can pretty much get you in the right direction if you look.
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.
We are a Google shop and our Analytics and Reporting team have and use GDS. However, Geckoboard can output some of the same types of data (albeit maybe not as granular) and can be used by a wide swath of our users (including project managers, account execs, developers, etc.). We can also save and reuse boards for similar products and get our data in front of the eyes that need to see it quickly without a lot of fuss.
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."
While we originally used this as an internal IS tool, we eventually have expanded it to be used by nearly every department.
Because pricing is monthly, we can grow or decrease our usage based on our current client needs.
Because it is low cost and easy to deploy, we can utilize it in place of considerable resources in analytics and reporting by delivering snapshots of data without pulling reports.
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.