Home/Natural Language Processing (NLP) Software/Amazon Comprehend vs Amazon SageMakerUpdated on: April 20, 2024

Compare Amazon Comprehend vs Amazon SageMaker

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Overview

Summary

Amazon Comprehend is a natural language processing software, which makes use of machine learning to look for insights and relationships within a text. The AutoML feature of the software allows users to build a custom set of entities and text models in accordance with their organisation’s needs. The software also allows users to extract information from any unstructured texts like social media posts, web pages and emails along with complex medical information. It can identify medical information like frequencies, dosages, and strengths from various sources like patient’s health records, doctors’ reports, and clinical trial reports. It also helps the users to identify specific terms and part codes. The software only takes charge of those services that the users avail. By using the software, users are subject to get a better understanding of any texts. Users can easily analyze any documents and other texts and organize them according to relevant terms and topics. Amazon Comprehend is a compact software users do not need to use any separate machine learning models to build, train or deploy. ..show more

Amazon SageMaker is a fully integrated service that allows data scientists and developers to easily and quickly train, deploy, and build machine learning models at any range by bringing all bot set capabilities together. It allows users to upload data quickly, tune and train models, compare results and deploy production models all in one place. This software offers a single web-based visual interface to perform all machine learning development steps and enhance data science and team productivity. Moreover, Amazon SageMaker comprises the autopilot features that eliminate the heavy lifting of building a machine learning model and helps users automatically train, build, and tune the ideal machine learning model based on their data. Amazon SageMaker autopilot will automatically search different solutions to discover the best model. Users then can directly deploy the model to production in one click to enhance the model quality. Amazon SageMaker offers other extensive features that assists users in simplifying the data preparation process and helping complete the data preparation workflow. Amazon SageMaker offers a premium and follows a subscription-based pricing strategy. ..show more

TECHNICAL DETAILS

Access Monitoring

24/7 (Live rep)

Business Hours

Online

Contact Number/Address

Seattle, Washington

N/A

API

Deployment

SaaS/Web/Cloud

Mobile - Android

Mobile - iOS

Installed - Windows

Installed - Mac

Customers

Individuals

Freelancers

Large Enterprises

Medium Business

Small Business

Pricing

Pricing Model

Free Trial

Freemium

One-time license

Open-source

Subscription

Quotation Based

Plans

Free Tier
Free

50K Units Of Text (5M Characters)

  • For each of the 7 APIs (Key Phrase Extraction, Sentiment Analysis, Entity Recognition, Language Detection, Syntax Analysis, Custom Entities, and Custom Classification) per month.

5 Jobs Up To 1MB Each

Features

  • Key Phrase Extraction
  • Sentiment Analysis
  • Entity Recognition
  • Language Detection
  • Syntax Analysis

Note: For the Custom Classification and Custom Entities APIs, there is no free tier for model training and custom model management.

Topic Modeling
$1 Others
  • For the first 100 MB: $1 Flat Rate Per Job
  • For every MB above 100 MB: $0.004 Per MB

Features

  • Key Phrase Extraction
  • Sentiment Analysis
  • Entity Recognition
  • Language Detection
  • Syntax Analysis
Custom Comprehend
Others

Custom Entities & Classification

  • For asynchronous classification and entity recognition: $0.0005 Per Unit
  • For synchronous classification: $0.0005 Per Second
  • For Model Training: $3 Per Hour
  • For Custom Model Management: $0.50

Features

  • Key Phrase Extraction
  • Sentiment Analysis
  • Entity Recognition
  • Language Detection
  • Syntax Analysis
View Price Page
Amazon SageMaker
Others

Features

  • Amazon SageMaker Studio notebooks , On-demand notebook instances: 250 hours of ml.t3.medium instance on Studio notebooks OR 250 hours of ml.t2 medium instance or ml.t3.medium instance on on-demand notebook instances
  • Amazon SageMaker Data Wrangler: 25 hours of ml.m5.4xlarge instance
  • Amazon SageMaker Feature Store: 10M write units, 10M read units, 25 GB storage
  • Training: 50 hours of m4.xlarge or m5.xlarge instances
  • Inference: 125 hours of m4.xlarge or m5.xlarge instances
View Price Page

SCREENSHOTS

Amazon Comprehend Screenshots
Amazon SageMaker Screenshots
View 2 screenshot(s)

ALTERNATIVES

Top alternatives to Amazon Comprehend

Microsoft Azure
Microsoft Azure
Amazon SageMaker
Amazon SageMaker
Amazon Macie
Amazon Macie
Amazon Rekognition
Amazon Rekognition
Lex
Lex

Top alternatives to Amazon SageMaker

Google AppSheet
Google AppSheet
Candidate Code
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Databricks
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IFTTT
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