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H2O.ai vs SAS Visual Analytics comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd), Data Science Platforms (10th)
H2O.ai
Average Rating
7.6
Number of Reviews
7
Ranking in other categories
Data Science Platforms (22nd), Model Monitoring (8th)
SAS Visual Analytics
Average Rating
8.2
Number of Reviews
39
Ranking in other categories
Data Visualization (9th)
 

Mindshare comparison

Data Science Platforms
Data Visualization
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Sep 21, 2023
Enhancing survey analysis that provides valued insightfulness
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses The most valuable feature is its robust…
RK
Dec 11, 2018
It is helpful, intuitive, and easy to use. The learning curve is not too steep.
One example, we are able to automate life insurance. We have to underwrite policies. When somebody applies for a policy, we take their blood, then assign them a risk: substandard, standard, preferred, etc. Depending on this, we price our products. Usually the process is that you take the blood, then it goes to a lab and we get the lab results back, then an underwriter takes a look at the lab results. This is usually done in a two week time frame to get a rating. We were able to build models to automate all of this, and now, it happens in real-time. Somebody can apply online and get issued a policy right away.
Robert Heck - PeerSpot reviewer
Feb 10, 2022
A great solution for big organizations, complex business requirements, and highly sophisticated and specialized statistics
There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else. For instance the system does not come with a pre-defined accounting, budgeting or planning model for a particular industry. Some competitors come with such a model (e.g. for retail companies) which makes the implementation of course easier if the customer can comproise with this predefined model. SAS does not provide such models but does not demand customers to comply with a foreign business model.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"It is perfectly adequate if all you need are the results and not the trail of evidence."
"It has the ability to easily change any variable in our research."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"It is a modeling tool with helpful automation."
"AutoML helps in hands-free initial evaluations of efficiency/accuracy of ML algorithms."
"One of the most interesting features of the product is their driverless component. The driverless component allows you to test several different algorithms along with navigating you through choosing the best algorithm."
"The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people."
"The ease of use in connecting to our cluster machines."
"Fast training, memory-efficient DataFrame manipulation, well-documented, easy-to-use algorithms, ability to integrate with enterprise Java apps (through POJO/MOJO) are the main reasons why we switched from Spark to H2O."
"It is helpful, intuitive, and easy to use. The learning curve is not too steep."
"It's relatively simple to create basic dashboards and reports."
"We've found the product to be stable and reliable."
"It is a very stable solution."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"I use Visual Analytics for enterprise reporting."
"The flexibility of the configuration is valuable to me."
"The visualization capabilities and the email functionality are most beneficial."
 

Cons

"Better documentation on how to use macros."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"It could allow adding color to data models to make them easier to interpret."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"The reports could be better."
"The solution needs more planning tools and capabilities."
"There is a learning curve; it's not very steep, but there is one."
"The design of the experience can be improved."
"On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time."
"The interpretability module has room for improvement. Also, it needs to improve its ability to integrate with other systems, like SageMaker, and the overall integration capability."
"The model management features could be improved."
"It needs a drag and drop GUI like KNIME, for easy access to and visibility of workflows."
"I would like to see more features related to deployment."
"Referring to bullet-3 as well, H2O DataFrame manipulation capabilities are too primitive."
"It lacks the data manipulation capabilities of R and Pandas DataFrames. We would kill for dplyr offloading H2O."
"A bit more flexibility in the temperatization will be helpful."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The product is expensive and needs the integration of more languages."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The solution is a little weak at the front end."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
 

Pricing and Cost Advice

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"More affordable training for new staff members."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"It's quite expensive, but they do a special deal for universities."
"The price of IBM SPSS Statistics could improve."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."
"I rate the tool's pricing a five out of ten."
"We have seen significant ROI where we were able to use the product in certain key projects and could automate a lot of processes. We were even able to reduce staff."
"The product is expensive."
"Licensing is simple."
"$10,000 per annum for an enterprise license."
"It's approximately $114,000 US dollars per year."
"The product is quite expensive."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
20%
Government
13%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
While the pricing of the product may be higher, the accompanying service and features justify the investment. However...
What needs improvement with IBM SPSS Statistics?
In some cases, the product takes time to load a large dataset. They could improve this particular area.
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What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
Some capabilities are missing compared to Power BI, especially when working with spreadsheet types. Furthermore, Exce...
 

Also Known As

SPSS Statistics
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SAS BI
 

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Overview

 

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Databricks, Knime, Microsoft and others in Data Science Platforms. Updated: October 2024.
814,763 professionals have used our research since 2012.