Amazon Comprehend vs. Azure OpenAI Service

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Comprehend
Score 4.2 out of 10
N/A
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend uses machine learning to help uncover insights and relationships in 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…
$0
per unit
Azure OpenAI Service
Score 8.5 out of 10
N/A
Azure OpenAI Service, a service from Microsoft's Azure suite available in preview, includes pre-generated AI models that enable users to apply advanced coding and language models to a variety of use cases, enabling new reasoning and comprehension capabilities for building applications. Users can apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data.N/A
Pricing
Amazon ComprehendAzure OpenAI Service
Editions & Modules
Syntax Analysis
$0.00005
per unit
Key Phrase Extraction
$0.0001
per unit
Sentiment Analysis
$0.0001
per unit
Entity Recognition
$0.0001
per unit
Language Detection
$0.0001
per unit
Pll Detection
$0.0001
per unit
Event Detection Per Event Type
$0.003
per unit
No answers on this topic
Offerings
Pricing Offerings
Amazon ComprehendAzure OpenAI Service
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon ComprehendAzure OpenAI Service
User Ratings
Amazon ComprehendAzure OpenAI Service
Likelihood to Recommend
10.0
(0 ratings)
8.5
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Amazon ComprehendAzure OpenAI Service
Likelihood to Recommend
Specifically, it starts processing millions of documents in minutes by leveraging the power of machine learning without having trained models from scratch. If any of the content contains personally identifiable information not only can Amazon Comprehend locate it but it will also redact or mask it. Using NLP techniques Amazon Comprehend goes well beyond keyword search or rules-based tagging to accurately classify documents. For my task or development, I cannot find any difficulties with Amazon Comprehend.
Read full review
If you're looking for a managed OpenAI API service, then Azure OpenAI Service is a good choice.
It's fully compatible with OpenAI API, has lots of models to choose from, lots of parameters to configure to suite your needs.
The documents are well maintained, with examples to get started.
You can also setup firewall to restrict access to the API to certain IP addresses, like those of your VPCs.
Read full review
Pros
  • Amazon Comprehend identifies the language of the text and extracts Key-phrases, places, people, brands or events.
  • It can build a custom set of entities or text classification models that are tailored uniquely to the organisation's need
  • Amazon Comprehend's medical can be used to identify medical conditions, medications, dosages, strength and frequencies from sources like doctor's notes, clinical trial reports and patient health records. This service is very good and with well an accuracy or confidence score.
Read full review
  • Provides additional guard rails by leveraging MS Azure
  • Ability to spin up different models quickly and efficiently
Read full review
Cons
  • It will be great if Amazon Comprehend provide support specifically for litigation or related text documents to extract insights from it.
  • For REST API support using JAVA SDK, it will be great for developers if they provide support for testing without any credentials or account details.
  • Setting up for REST API integration can be as simple as possible.
Read full review
  • More examples would be helpful, especially when it come to token counting & summarizing
  • Pricing is not really straightforward to estimate as it's based on token count
  • Complete privacy requires special agreement with Microsoft
Read full review
Usability
No answers on this topic
Azure OpenAI is easy to deploy, manage and scalable solution for Gen AI application, they have really good SDK to call their APIs securely. anyone with a background in backend engineering can easily use their APIs to make their ideas into reality
Read full review
Alternatives Considered
For natural language processing tasks or techniques, there are many service providers out there in the market such as Azure Cloud Services, IBM Watson and Google Cloud Platform (GCP), but compared with them, Amazon Comprehend is the best service provider in contents of accuracy, speed of processing multilingual text, supporting SDK for most of the languages and well documented.
Read full review
1. Open AI is best at giving accurate answers. 2. It is secure and more trustworthy 3. Most of our client using Azure cloud so it becomes go to choice for them. 4. Scalable as it handles 1000s of request per minute. 5. SDKs are easy to use and well documented.
Read full review
Return on Investment
  • It supports better and accurately as compared with our existing or old implementations. So, we fulfil our needs as per clients' requirements and it will help to grow or improve client satisfaction.
  • For these specific requirements, we do not require any machine learning engineers or related professionals to hire in our organisation.
  • None of any negative sides can be affected our business or distract existing clients.
Read full review
  • Honestly, I just started using it a few months ago, and I haven't seen any major benefits.
  • It has almost similar capabilities as free version of ChatGPT, so it's worth paying for chat models unless we need to use API.
  • ROI has not been impacted at all, as I mostly use free version over this to avoid higher charges.
Read full review
ScreenShots