GoodData is an analytics platform used by organizations to deliver real-time, governed insights, embedded into products, customized for users, and integrated into any data environment.
N/A
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
GoodData.AI
Wolfram Mathematica
Editions & Modules
No answers on this topic
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
GoodData.AI
Mathematica
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
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.
We did our investigation years ago and I wasn't the one leading it but what I do remember was that GoodData had the best balance of price compared to infrastructure demand while not compromising on the power of available features around insight and dashboarding
GoodData is easier to understand and designed to detail critical data within a dashboard system. Visualization is essential, and the filters are quite varied. Metrics are also easy to use, so users only need to think a little more carefully about setting up the SQL required for …
Embedding flexibility was the main reason we chose GoodData. Interactivity, customization options, and programmatic ability were all very important to us and GoodData's embedding via React SDK offers exactly that. Implementation time was 50% shorter with GoodData than with …
GoodData seems less user friendly and doesn't provide that many visualization options so we are slowly moving to other solution in part of the company. There are still teams that plan to continue with GoodData and use React code in orther to supply missing functions.
I was not a part of the process to choose GoodData. From other teammates: the ability to really control the look of pixel perfect dashboards was important.
GoodData is much more customisable in our case so we choose this. Also when it comes to pricing part GoodData is the best economically as well and in terms of features and functionalities. As compared to others similar products I believe that GoodData is much more reliable with …
GoodData has been proven best for us as it has given the most accurate analytical insights on our data. I've used other tools too but no one has been this good in terms of reporting, handling data, decision making. Using GoodData for almost every organisational decision and …
GoodData comparing to other platform is very easy to use, customer support and on-boarding support. Set of features, speed of integration in our platform. Also great benefit for us was very competetive pricing.
All of the tools have their plusses and minuses. The one thing that stands out with Qlik is that it allows for two-way API integrations with Salesforce. This means that analytics reporting results can interact with the Salesforce application.
The primary reasons GoodData was selected was data modeling capability, ability to standardize complex metrics, quality of viaualization and multi-tenancy
GoodData cloud has been on an upward trend in terms of speed of improvements and new features. It is easier to maintain and mange than most other products in terms of the behind the scenes updates etc however the hosted nature of the dashboards does reduce the flexibility to …
GoodData provides the largest amount of OOB features that meet our end-user needs. It means a lot that we don't need to perform development on our own. At some point, it may make sense to take items in house, but its hte best current fit.
I have used all softwares in my past 10 years of experience. GoodData stands out with its seamless data integration, advanced predictive analytics, and collaborative features. Unlike Tableau and Power BI, GoodData offers scalable solutions with a user-friendly interface for …
Choosing between GoodData and other platforms was clear for me as the superiority of GoodData over others due to our needs. GoodData stands out for its awesome dashboards, robust predictive analytics, reports, and analysis. Data integration helps us for business intelligence …
Tableau is fantastic for visuals, and Zoho Analytics is user-friendly, but GoodData takes the cake with its seamless integration and powerful analytics. It stacks up well because it's not just about pretty graphs but it's about making data work for you. It's the perfect fit for …
GoodData is best among every other platform I used because it's a cloud based platform and way to easy to use. Its robust predictive analytics and unified data view set it way apart. While Power BI and Tableau excel in visualization, GoodData's focus on comprehensive business …
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 have consistently formatted data, that you want regular reports on, plus flexibility to let end users build their own reports, GoodData is perfect. Especially if your end users are less technical. If you want to be able to embed your reporting into your app, GoodData excels, though the start up process can be involved. If your data structure varies, it could be more challenging to integrate. It may also not be worth the integration if you have people who can already run their own SQL queries.
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.
GoodData helps in simplifying complex data into easy-to-understand visuals. We can create personalized dashboards & tailor them as per requirements. This data can be used from an executive level employee to a team lead employee in the business
GoodData is a very user friendly platform. The collaborative features simplify sharing and discussing reports among team members which promotes a culture of data-driven decision-making.
GoodData connects with various data sources and consolidate information from multiple platforms. This flexibility proves invaluable for businesses dealing with data spread across different systems as they can access large amount of data on a single platform.
Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage
From my experience, overall usability of GoodData platform is great very easy to use, but there is still few features as GoodData platform and interface continuosly evolves, which are not yet available within user interface, but only available via API. For regular users all main and key features and tools are perfect, well defined and very easy to use.
The fast and comprehensive responses we got from GoodData regarding the doubts we had experienced while starting to use the products and metrics were of great help in ensuring the metrics we were obtaining were accurate to what we wanted to know about our customers' experience and our product areas of opportunity.
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.
Implementations are hard and we had limited technical resources. We relied too heavily on GD care team. When we found technical gaps, they weren't simple to overcome
We did our investigation years ago and I wasn't the one leading it but what I do remember was that GoodData had the best balance of price compared to infrastructure demand while not compromising on the power of available features around insight and dashboarding
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.