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H2O.ai vs IBM Watson Studio comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
10th
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
H2O.ai
Ranking in Data Science Platforms
22nd
Average Rating
7.6
Number of Reviews
7
Ranking in other categories
Model Monitoring (8th)
IBM Watson Studio
Ranking in Data Science Platforms
12th
Average Rating
8.2
Number of Reviews
13
Ranking in other categories
AI Development Platforms (9th)
 

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. The mindshare of H2O.ai is 1.5%, up from 1.5% compared to the previous year. The mindshare of IBM Watson Studio is 2.1%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

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.
Abilio Duarte - PeerSpot reviewer
Oct 5, 2023
A highly robust and well-documented platform that simplifies the complex world of AI
It is used to enhance user experience in an e-commerce setting. By leveraging data on user clicks, browsing behavior, and past interactions with the platform, we can create models that enable personalized product recommendations. These models can identify products that align with the customer's…

Quotes from Members

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

Pros

"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"It is perfectly adequate if all you need are the results and not the trail of evidence."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"in terms of the simplicity, I think the SPSS basic can handle it."
"IBM SPSS Statistics depends on AI."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"It is helpful, intuitive, and easy to use. The learning curve is not too steep."
"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 ease of use in connecting to our cluster machines."
"AutoML helps in hands-free initial evaluations of efficiency/accuracy of ML algorithms."
"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."
"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."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It is a stable, reliable product."
"Stability-wise, it is a great tool."
"IBM Watson Studio consistently automates across channels."
"It is a very stable and reliable solution."
"The system's ability to take a look at data, segment it and then use that data very differently."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
 

Cons

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"There is a learning curve; it's not very steep, but there is one."
"The solution needs to improve forecasting using time series analysis."
"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."
"The reports could be better."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"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."
"It lacks the data manipulation capabilities of R and Pandas DataFrames. We would kill for dplyr offloading H2O."
"It needs a drag and drop GUI like KNIME, for easy access to and visibility of workflows."
"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."
"On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time."
"Referring to bullet-3 as well, H2O DataFrame manipulation capabilities are too primitive."
"The model management features could be improved."
"I would like to see more features related to deployment."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"The main challenge lies in visibility and ease of use."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"The initial setup was complex."
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
"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."
"I think maybe the support is an area where it lacks."
 

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."
"It's quite expensive, but they do a special deal for universities."
"The price of this solution is a little bit high, which was a problem for my company."
"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."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"The price of IBM SPSS Statistics could improve."
"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."
"Watson Studio's pricing is reasonable for what you get."
"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
"IBM Watson Studio is a reasonably priced product"
"IBM Watson Studio is an expensive solution."
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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
15%
Computer Software Company
13%
Manufacturing Company
9%
University
8%
 

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 needs improvement with IBM Watson Studio?
From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment a...
 

Also Known As

SPSS Statistics
No data available
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
 

Learn More

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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
GroupM, Accenture, Fifth Third Bank
Find out what your peers are saying about H2O.ai vs. IBM Watson Studio and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.