To help you find the best data science platforms, IT Central Station ranked them based on hundreds of real user reviews, from our esteemed community of enterprise technology professionals. You'll find comparisons of pricing, performance, features, stability and many other criteria. Read below to find out what your peers have to say about data science tools such as IBM SPSS Modeler, SAS Visual Analytics, Alteryx, KNIME and others.
The total ranking of a product, represented by the bar length, is based on a weighted aggregate score.
The score is calculated as follows: The product with the highest count in each area gets the highest available score.
(20 points for Reviews; 16 points for Views, Comparisons, and Followers.)
Every other product gets assigned points based on its total in proportion to the #1 product in
that area. For example, if a product has 80% of the number of reviews compared to the product
with the most reviews then the product's score for reviews would be 20% (weighting factor) *
80% = 16. For Average Rating, the maximum score is 32 points awarded linearly based on our
rating scale of 1-10. If a product has fewer than ten reviews, the point contribution
for Average Rating is reduced (one-third reduction in points for products with 5-9 reviews;
two-thirds reduction for products with fewer than five reviews). Reviews that are more than 24 months old,
as well as those written by resellers, are completely excluded from the ranking algorithm.
I think the ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that. We don't use SPSS Modeler for governance or... more»
The benefits are that this product makes us a more efficient sales staff. We're reducing the inefficiencies in the buying patterns of our customers, by calling them when we know they're ready to order, instead of waiting for them to call us.... more»
Like I said, I'm really excited about the enhanced visualization that I know is coming down the pipeline. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization. I think mapping for... more»
All the statistical models that you are able to access. We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want. It gives you a GUI interface, which is a lot more... more»
It has provided us a lot of small wins that we could bring to our leadership and it has given them confidence with what we were doing in regards to analytics. We have used this to help us pursue bigger, better products, such as IBM PureData.... more»
The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only. Every company is looking at solutions... more»
We are looking for ways to automate even more. So, we are trying to avoid any manual effort currently necessary. With the whole machine learning part currently at the top of the market, we are trying to see how we can improve in the... more»
The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people. This is valuable for us. Also, how it integrates with the rest of the stacks,... more»
We would like to see it more web-based with more functionality. We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers. In this sense, we also are looking forward to... more»
MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the... more»
One of the most valuable features to me is its ability to take millions of rows of data, blend them with more millions of rows of data, then output the data set to a Tableau Data Extract can output to a *.tde, we are able to use it... more»
Non-computer-savvy business users used to require periodic and ad-hoc reports to spot trends or so they could work with our customers on spend allocation. Some of these reports took days or weeks to compile. Alteryx allowed us to access all... more»
The company is constantly pushing updates and making the product more user friendly and faster. Although I have about seven months’ experience using it, I don’t feel like I’ve even scratched the surface on its capabilities. I haven’t used its... more»
We are creating models and putting them into production much faster than we would if we had gone with a strictly, code-based solution, like R or Python. In the time it takes to write the code to build one model, I am building three models... more»
* Easy ETL operations * Rich algorithm set * Integrated with other languages like R, Python, and Java. * Works together with other technologies like DeepLearning4j, H2O.ai, D3.js, and Weka. * Ease of use and being a performant solution. *... more»
My organization's field of activity is to develop business applications for niche areas. Almost three years ago, we decided to extend our solutions with advanced analytics. KNIME let us start easy and fast into the Advanced Analytics area. We... more»
* The codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No coder needed. * I did not find a data source that I could not connect to yet. * In/out, preparation, blending, parsing, and... more»
Alteryx speeds up the time to obtain business answers/insights on data. It can quickly process huge amounts of data. It allows you to have your business prepare their own data sets, and it can even be used by IT people. The speed of... more»
Even when it already includes some AI models, this area could be improved. The another area which could be improved is the visualizations. It would be great to create the final users' visualization within Alteryx.
I don't use it for governance and security issues or for visual modeling. For data visualization we use ThoughtSpot, Tableau, Power BI. In terms of the graphic capability, those are existing platforms that have a larger user base, so it's unlikely that we'll use Modeler exclusively for data visualization.
I really can't think of anything off the top of my head because I feel like I'm under utilizing it as it is, because we're doing specific things. Two or three years ago, I would've said R and Python integration, but they've done that.
The drag-and-drop capability to create a workflow works like drawing a flow chart. Each icon represents an action. You drag the action on the canvas and connect it to the data source, make configurations on the action, then run the workflow.... more»
Alteryx automated some manual standard processes and the workflow is easy to maintain. Staff do not need to wait for IT to prepare data once a data warehouse is set up. The output can be shared within the company which other teams can make... more»
I would like to see the field tracks along the workflow show the route of selected field. That would be easier to do checking or modification when designing a complex workflow. Also, data profiling would be helpful if audit/compliance... more»
It would be beneficial if the tool would include more well-known machine learning algorithms. However, IBM already started to include several of these algorithms by implementing Python code. Plus, each user is capable of implementing his/her... more»
We are big-time into data analytics. AI is another area which we want to start looking at. Digital banking is important. We are looking more into digital banking and we are trying to put some features in there. I think the trend is more on... more»
Our go-live process has changed compared to the previously programmatic code based process. It’s not just the time to go-live but it’s also the process itself; the improvement in terms of performance, and maintenance is also important. I... more»
It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers.
The speed of the system could be improved, but I think that will be fixed once we get our data in line. I do not what additional features that I would like to see in the next release as I am still learning the features in this release!
* Automated data preparation, cleansing, and imputation of missing data. * Some basic form of feature engineering for classification models, automated binning, etc. This really quickens the model development process. * Automated modelling,... more»
* Formula writing is not straightforward for an Excel user. Totally new set of functions, and it takes time to learn and teach. * Automating procedures: Writing macros is not easy and difficult to learn. * It is not integrated with Qlik,... more»
* It is very easy to test different kinds of machine-learning algorithms with different parameters. You choose the algorithm, drag and drop to the workspace, and plug the dataset into this component. * When you import the dataset you can see... more»
With this tool we could have all benefits of a cloud environment, such as scalability and access to machine-learning applications. These features are very important when you have large datasets and critical applications.
Well, actually, in terms of the technique that we use, and also the implementation, I prefer to use SPSS Clementine right now. It can cover a big amount of data, instead of just basic SPSS where you have limitations, how many observations you... more»
Similar to other tools, we can identify the pattern of the customers and we can differentiate between which customers we should target, which customer we should not target, and do some basic analysis. I think that's the thing that helps our... more»
Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement. Also, right now we're handling more and more data. Maybe, in the... more»
I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports. In my environment, I need to access a lot of servers with different characteristics and access methods.... more»
* Ease of use. Can get results quickly. * Intuitive understanding of different data types. Saves time and effort. * Descriptive statistics of my dataset. Serves as logical justification for the predictions. * Presents output in visual form.... more»
My organization is a consulting company that helps its clients in using technology to improve their businesses. This product was the first one that we used to demonstrate capabilities to our customers.
* Dataset modeling functionality could be easier to use. * Neural network interface for examining complex data types like pictures, audio, etc. But I suppose the Leonardo – TensorFlow integration might be taking care of that. * Data... more»
Using Base SAS, one can do statistical analysis of data. However, Base SAS is completely code driven (doesn't have any GUI). This is a big limitation as statisticians, often, are not so good at programming. SAS Enterprise Miner extends GUI... more»
The product is still not as intuitive as one would like it to be. For example, a competing product, IBM SPSS Modeler is nearly completely GUI driven, while SAS Enterprise Miner lacks some features. Plus it is prohibitively expensive and is... more»
* One-stop shop for data preparation, blending, prediction, and optimization in a single workflow. * In-database analytics native to SQL Server, Oracle, Teradata, and SAP HANA * Spatial tools for geographic analysis and data enrichment
* GPU or multi-core CPU utilization * WYSIWYG reporting with interactive filters and graphics * Mobile integration: Triggers analytic apps through mobile phone and gets results interactively. * More statistics tools: We can use to compare... more»
Business Analytics all-rounder
• Microsoft Azure Machine Learning
• SAP Predictive Analytics
Data Warehousing & Reporting
• SAP Business Intelligence
• SAP HANA
• Design Studio
Enterprise Performance Management
• SAP Business Objects Planning and Consolidation
• SAP... more>>
I am social psychological researcher with strong traditional research skills and a keen interest in statistics and real-world data. My objectives are:
• Personal development – this includes further learning in the areas of statistics and mathematics, programming, big data, teaching, and data... more>>
A leading expert in decision management and in the development of Decision Management Systems. Experienced working with business rules, predictive analytics and other decisioning technologies to improve operational systems. Published author - Decision Management Systems (IBM Press), Smart... more>>