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Amazon Comprehend 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)
Amazon Comprehend
Ranking in Data Science Platforms
18th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
IBM Watson Studio
Ranking in Data Science Platforms
12th
Average Rating
8.2
Reviews Sentiment
8.0
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 Amazon Comprehend is 0.5%, down from 1.0% 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
Enhancing survey analysis that provides valued insightfulness
I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.
Pavan Nanjundappa - PeerSpot reviewer
Good job extracting entities and does the classification in the healthcare products
I would like to see a feature that allows me to create or generate a summary based on the extracted entities. Amazon Comprehend works with a large pool of doctors. They're building the product based on working with domain experts. I don't have any suggestions except if they can provide a feature for generating the summary for the entities that has been updated.
Abilio Duarte - PeerSpot reviewer
A highly robust and well-documented platform that simplifies the complex world of AI
The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

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."
"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."
"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 simplicity, I think the SPSS basic can handle it."
"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 perfectly adequate if all you need are the results and not the trail of evidence."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"SPSS is quite robust and quicker in terms of providing you the output."
"Amazon Comprehend works with a large pool of doctors. They're building the product based on working with domain experts."
"It has a lot of data connectors, which is extremely helpful."
"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."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"The scalability of IBM Watson Studio is great."
"It is a stable, reliable product."
"IBM Watson Studio consistently automates across channels."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"Watson Studio is very stable."
 

Cons

"This solution is not suitable for use with Big Data."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"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."
"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."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"The solution needs to improve forecasting using time series analysis."
"It is a bit complex to scale. It is still evolving as a product."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"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."
"The main challenge lies in visibility and ease of use."
"The solution's interface is very slow at times."
"So a better user interface could be very helpful"
"The decision making in their decision making feature is less good than other options."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"We would like to see it more web-based with more functionality."
 

Pricing and Cost Advice

"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"The price of this solution is a little bit high, which was a problem for my company."
"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."
"The price of IBM SPSS Statistics could improve."
"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 pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"I rate the tool's pricing a five out of ten."
Information not available
"IBM Watson Studio is a reasonably priced product"
"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
"IBM Watson Studio is an expensive solution."
"Watson Studio's pricing is reasonable for what you get."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
University
9%
Computer Software Company
9%
Manufacturing Company
8%
Computer Software Company
14%
Manufacturing Company
11%
Financial Services Firm
11%
University
9%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...
What needs improvement with Amazon Comprehend?
I would like to see a feature that allows me to create or generate a summary based on the extracted entities. Amazon ...
What is your primary use case for Amazon Comprehend?
I use it to extract medical entities for doctors like the deceased and so on. It does the job well for our requiremen...
What advice do you have for others considering Amazon Comprehend?
Overall, I would rate the product an eight out of ten. I would recommend Amazon AWS Medical Comprehend for healthcare...
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
LexisNexis, Vibes, FINRA, VidMob
GroupM, Accenture, Fifth Third Bank
Find out what your peers are saying about Databricks, Knime, Microsoft and others in Data Science Platforms. Updated: November 2024.
816,406 professionals have used our research since 2012.