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Amazon Comprehend vs Amazon SageMaker 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
Amazon SageMaker
Ranking in Data Science Platforms
5th
Average Rating
7.6
Reviews Sentiment
9.1
Number of Reviews
27
Ranking in other categories
AI Development Platforms (4th)
 

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 Amazon SageMaker is 7.7%, down from 10.4% 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…
Pavan Nanjundappa - PeerSpot reviewer
Aug 2, 2024
Good job extracting entities and does the classification in the healthcare products
I use it to extract medical entities for doctors like the deceased and so on. It does the job well for our requirements. It is mainly for automation.  I like the analytics options in CComprehend, it's a kind of data science work that we are doing, extracting the entities for the doctors. It is…
Natu Lauchande - PeerSpot reviewer
Feb 27, 2024
Easy to use and manage, but the documentation does not have a lot of information
We use the product for deploying machine learning models. We use it for the machine learning model development process We're currently implementing a project on a cross-selling model. It is like a standard XGBoost model. I’m evaluating the tool to see whether it will improve the workflow.…

Quotes from Members

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

Pros

"It is perfectly adequate if all you need are the results and not the trail of evidence."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"The most valuable feature is its robust statistical analysis capabilities."
"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."
"The most valuable feature is the user interface because you don't need to write code."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"Amazon Comprehend works with a large pool of doctors. They're building the product based on working with domain experts."
"We were able to use the product to automate processes."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"The most valuable feature of Amazon SageMaker for me is the model deployment service."
"It's user-friendly for business teams as they can understand many aspects through the AWS interface."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
 

Cons

"The solution needs more planning tools and capabilities."
"There is a learning curve; it's not very steep, but there is one."
"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 would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"This solution is not suitable for use with Big Data."
"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."
"I think the visualization and charting should be changed and made easier and more effective."
"The design of the experience can be improved."
"It is a bit complex to scale. It is still evolving as a product."
"The documentation must be made clearer and more user-friendly."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."
"The user interface (UI) and user experience (UX) of SageMaker and AWS, in general, need improvement as they are not intuitive and require substantial time to learn how to use specific services."
"Amazon might need to emphasize its capabilities in generative models more effectively."
"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."
"One area where Amazon SageMaker could improve is its pricing. The high costs can drive companies to explore other cloud options. Additionally, while generally good, the updates sometimes come with bugs, and the documentation could be much better. More examples and clearer guidance would be helpful."
 

Pricing and Cost Advice

"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."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"We think that IBM SPSS is expensive for this function."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"More affordable training for new staff members."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"It's quite expensive, but they do a special deal for universities."
"I rate the tool's pricing a five out of ten."
Information not available
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."
"You don't pay for Sagemaker. You only pay for the compute instances in your storage."
"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."
"The pricing is comparable."
"The support costs are 10% of the Amazon fees and it comes by default."
"The pricing could be better, especially for querying. The per-query model feels expensive."
"The product is expensive."
"There is no license required for the solution since you can use it on demand."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Manufacturing Company
8%
Computer Software Company
14%
Financial Services Firm
10%
Manufacturing Company
10%
University
8%
Financial Services Firm
18%
Educational Organization
14%
Computer Software Company
11%
Manufacturing Company
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?
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.
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...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...
What do you like most about Amazon SageMaker?
We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to Cha...
What is your experience regarding pricing and costs for Amazon SageMaker?
The license cost for Amazon SageMaker ranges between seven thousand to fifteen thousand dollars per month depending o...
 

Also Known As

SPSS Statistics
No data available
AWS SageMaker, SageMaker
 

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
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Find out what your peers are saying about Databricks, Knime, Microsoft and others in Data Science Platforms. Updated: October 2024.
814,649 professionals have used our research since 2012.