Compare Amazon Comprehend vs. Amazon SageMaker

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Amazon Comprehend Logo
551 views|515 comparisons
Amazon SageMaker Logo
11,876 views|10,125 comparisons
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Pricing and Cost Advice
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"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.""The support costs are 10% of the Amazon fees and it comes by default."

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Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
Ranking
24th
Views
551
Comparisons
515
Reviews
0
Average Words per Review
0
Rating
N/A
12th
Views
11,876
Comparisons
10,125
Reviews
4
Average Words per Review
510
Rating
7.5
Popular Comparisons
Also Known As
AWS SageMaker, SageMaker
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Overview

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.

There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale.

Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization’s needs.

For extracting complex medical information from unstructured text, you can use Amazon Comprehend Medical. The service can identify medical information, such as medical conditions, medications, dosages, strengths, and frequencies from a variety of sources like doctor’s notes, clinical trial reports, and patient health records. Amazon Comprehend Medical also identifies the relationship among the extracted medication and test, treatment and procedure information for easier analysis. For example, the service identifies a particular dosage, strength, and frequency related to a specific medication from unstructured clinical notes.

Amazon Comprehend is fully managed, so there are no servers to provision, and no machine learning models to build, train, or deploy. You pay only for what you use, and there are no minimum fees and no upfront commitments.

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

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Sample Customers
LexisNexis, Vibes, FINRA, VidMob
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Top Industries
VISITORS READING REVIEWS
Computer Software Company22%
Media Company19%
Comms Service Provider9%
Healthcare Company7%
VISITORS READING REVIEWS
Computer Software Company27%
Media Company17%
Comms Service Provider12%
Financial Services Firm7%
Company Size
No Data Available
REVIEWERS
Midsize Enterprise57%
Large Enterprise43%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: March 2021.
474,319 professionals have used our research since 2012.

Amazon Comprehend is ranked 24th in Data Science Platforms while Amazon SageMaker is ranked 12th in Data Science Platforms with 5 reviews. Amazon Comprehend is rated 0.0, while Amazon SageMaker is rated 7.6. On the other hand, the top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". Amazon Comprehend is most compared with Microsoft Azure Machine Learning Studio and IBM Watson Studio, whereas Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, H2O.ai and KNIME.

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