TrustRadius

Azure AI Language vs. IBM Watson Studio on Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure AI Language
Score 8.2 out of 10
N/A
Azure AI Language (formerly Azure Cognitive Service for Language) is a managed service to add natural language capabilities, from sentiment analysis and entity extraction to automated question answering. Users can identify key terms and phrases, understand sentiments, and build conversational interfaces into applications. Annotate, train, evaluate, and deploy customizable models without machine-learning expertise.N/A
IBM Watson Studio
Score 10.0 out of 10
N/A
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
Pricing
Azure AI LanguageIBM Watson Studio on Cloud Pak for Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure AI LanguageIBM Watson Studio
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Azure AI LanguageIBM Watson Studio on Cloud Pak for Data
Considered Both Products
Azure AI Language
Verified User
Anonymous
Chose Azure AI Language
We haven't used other products. Our experience with Azure, whilst not meeting our needs this time around, was positive, educational and insightful. This was the first time that we had considered using an AI tool to manage and manipulate our data and we were unsure of the …
Verified User
Anonymous
Chose Azure AI Language
Key Phrase Extraction
Question answering
Availability of Customizations
IBM Watson Studio
Kapil Bansal | TrustRadius Reviewer
Kapil Bansal
Web Developer
Chose IBM Watson Studio
Google Cloud may be a good place but it is not as easy to understand as IBM Watson is. Google Cloud has a lot of things and it is terrifying for a beginner. You need hours of specialization for that. On other hand, anyone can start using IBM Waston just by the following …
Verified User
Anonymous
Chose IBM Watson Studio
  • Data ingestion
  • Batch data processing
  • Built-in connectors to Python
Verified User
Anonymous
Chose IBM Watson Studio
Anaconda and Jupyter Notebook
LR
Li Rong
Software Engineer
Chose IBM Watson Studio
AWS Sagemaker is a well-established product that supports on-demand notebooks, data pipelines, and so on, however, it also comes with the learning overhead of the whole AWS stack. It does allow per-defined models, but the benefit of using IBM Watson Studio is that users are …
Chose IBM Watson Studio
Organization of data, use of data, manage the data, visualize the data is easy. Use of the environment for any project. We can use python or R or Scala in the notebook.
Verified User
Anonymous
Chose IBM Watson Studio
It provides better user experience. All your data on cloud and does not take up space locally.
Verified User
Anonymous
Chose IBM Watson Studio
I think they are very similar but IBM Watson is not good enough yet to pay for the services that I can already get from Jupyter Notebook.
Chose IBM Watson Studio
Easy to use, but still requires a lot of coding to use. There is no ranking of models used and models are not persistent, which means you have to keep running the models again every time you leave the session. The filesystem is clunky and need to keep authorizing Google Drive …
Verified User
Anonymous
Chose IBM Watson Studio
The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and …
NARESH SAMPARA | TrustRadius Reviewer
NARESH SAMPARA
Research Associate
Chose IBM Watson Studio
IBM offers a deep neural network training workflow, with a flow editor interface similar to the one used in Azure ML Studio. However, the custom build modeling in IBM has notebooks such as Jupiter to program models manually using popular frameworks like TensorFlow, …
Verified User
Anonymous
Chose IBM Watson Studio
As it offers more features and can be used for several applications like AI,ML,DS etc.,
MW
Michael Weaver
Logistic Assistance Representave (LAR)
Chose IBM Watson Studio
With my experience on Jupyter Notebook I think both are good and currently more comfortable with Watson Studio product. With Jupyter it's open source (free) is always good. "Lots of languages (50), data visualization with Seaborn, work with the building blocks in a flexible and …
Verified User
Anonymous
Chose IBM Watson Studio
We didn’t evaluate other products but we liked what we saw in Watson Studio.
Christopher Penn | TrustRadius Reviewer
Christopher Penn
Co-Founder and Chief Innovator
Chose IBM Watson Studio
As an IBM Business Partner, we are financially incentivized to recommend and deploy IBM solutions where it makes sense to do so for the customer. Against other solutions, few have the governance and security that IBM offers, which is essential for any kind of work in highly …
Verified User
Anonymous
Chose IBM Watson Studio
They are close, but I feel Alteryx is more of an enhanced Jupyter capability, whereas WS is more of an enterprise solution for multiple teams
Verified User
Anonymous
Chose IBM Watson Studio
I am excited with the roadmap of Watson Studio incorporating SPSS Modeler in the offerings.
Isaiah King | TrustRadius Reviewer
Isaiah King
Founding Member
Chose IBM Watson Studio
Watson Studio was our choice in data management because its "all-in-one" packaging. Watson studio also stood out to us because it was more affordable and free for our organization to try out. We also greatly value the open source ecosystem Watson Studio has fostered.
Dr. George Ng | TrustRadius Reviewer
Dr. George Ng
Lecturer (Software and Information Technology Council)
Chose IBM Watson Studio
AWS Sagemaker is new, and I personally think it's better than sliced bread. There's very little set up to do. Watson Studio needs to up its game against Sagemaker.
Verified User
Anonymous
Chose IBM Watson Studio
AWS stacks up very favourably against Watson Studio, and in fact this is what the customer ultimately chose over Watson Studio after an evaluation period due to the sophistication, maturity, security, and capabilities of the AWS components. The downsides of AWS are having to …
Verified User
Anonymous
Chose IBM Watson Studio
The learning curve for DSX is smaller compared to other tools. The data science user base often has preferred tools that they have used previously which are often not DSX which makes adoption of DSX by trained data scientists harder than new users.
Andrea Bardone | TrustRadius Reviewer
Andrea Bardone
consultant
Chose IBM Watson Studio
IBM DSx is more comprehensive and easy to use, IBM Data science experience has many connectors to the data source and guarantees the portability with your old projects.
Features
Azure AI LanguageIBM Watson Studio on Cloud Pak for Data
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure AI Language
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.1
Ratings
3% below category average
Connect to Multiple Data Sources00 Ratings8.00 Ratings
Extend Existing Data Sources00 Ratings8.00 Ratings
Automatic Data Format Detection00 Ratings10.00 Ratings
MDM Integration00 Ratings6.40 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure AI Language
-
Ratings
IBM Watson Studio on Cloud Pak for Data
10.0
Ratings
17% above category average
Visualization00 Ratings10.00 Ratings
Interactive Data Analysis00 Ratings10.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure AI Language
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
Ratings
15% above category average
Interactive Data Cleaning and Enrichment00 Ratings10.00 Ratings
Data Transformations00 Ratings10.00 Ratings
Data Encryption00 Ratings8.00 Ratings
Built-in Processors00 Ratings10.00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure AI Language
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
Ratings
12% above category average
Multiple Model Development Languages and Tools00 Ratings10.00 Ratings
Automated Machine Learning00 Ratings10.00 Ratings
Single platform for multiple model development00 Ratings10.00 Ratings
Self-Service Model Delivery00 Ratings8.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure AI Language
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.0
Ratings
6% below category average
Flexible Model Publishing Options00 Ratings9.00 Ratings
Security, Governance, and Cost Controls00 Ratings7.00 Ratings
Best Alternatives
Azure AI LanguageIBM Watson Studio on Cloud Pak for Data
Small Businesses
IBM Watson Studio
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Score 10.0 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Medium-sized Companies
PG Forsta HX Platform
PG Forsta HX Platform
Score 9.3 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
PG Forsta HX Platform
PG Forsta HX Platform
Score 9.3 out of 10
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Score 10.0 out of 10
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User Ratings
Azure AI LanguageIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
6.5
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
9.6
(0 ratings)
Availability
-
(0 ratings)
8.2
(0 ratings)
Performance
-
(0 ratings)
8.2
(0 ratings)
Support Rating
-
(0 ratings)
8.2
(0 ratings)
In-Person Training
-
(0 ratings)
8.2
(0 ratings)
Online Training
-
(0 ratings)
8.2
(0 ratings)
Implementation Rating
-
(0 ratings)
7.3
(0 ratings)
Product Scalability
-
(0 ratings)
8.2
(0 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.2
(0 ratings)
User Testimonials
Azure AI LanguageIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
We thought that the language recognition and recording would be ideal for our needs. We did a lot of set up and testing but eventually decided to take another route as we were up against tight deadlines and limited skilled resource for the task. Had we had more time and the project was longer we would have pursued with using the product as it would definitely have been a useful. The experience gained was useful and we will keep the product in mind for the future.
Verified User
Anonymous
Read full review
It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
Verified User
Anonymous
Read full review
Pros
  • The data is pre configured that means the AI models that are used by features are not customizable. One needs to send data and have to use the output of the feature in our application
  • Availability of customizations in order to adjust some specific requirements
  • Availability of Language studio so that one can avoid coding
Verified User
Anonymous
Read full review
  • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
  • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
  • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
  • Estimator validation lets data scientists test and prove different models.
Christopher Penn | TrustRadius Reviewer
Christopher Penn
Co-Founder and Chief Innovator
Read full review
Cons
  • The application is hard to use for new users
  • Data Integration is complex in nature
  • For Mid - sized organizations, the pricing is on higher end
Verified User
Anonymous
Read full review
  • The cost is steep and so only companies with resources can afford it
  • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
  • It takes a while to learn how to input different kinds of skin defects for detection
Verified User
Anonymous
Read full review
Likelihood to Renew
No answers on this topic
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Usability
No answers on this topic
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Isaiah King | TrustRadius Reviewer
Isaiah King
Founding Member
Read full review
Reliability and Availability
No answers on this topic
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Performance
No answers on this topic
Never had slow response even on our very busy network
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Support Rating
No answers on this topic
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
In-Person Training
No answers on this topic
The trainers on the job are very smart with solutions and very able in teaching
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Online Training
No answers on this topic
The Platform is very handy and suggests further steps according my previous interests
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Implementation Rating
No answers on this topic
It surprised us with unpredictable case of use and brand new points of view
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Alternatives Considered
Key Phrase Extraction Question answering Availability of Customizations
Verified User
Anonymous
Read full review
The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
Verified User
Anonymous
Read full review
Scalability
No answers on this topic
It helped us in getting from 0 to DSX without getting lost
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Return on Investment
  • Usage of more than one language in one specific API call
  • Question Answering Feature
  • Key Phrase Extraction, hence one need to read the entire phrase to understand the context
Verified User
Anonymous
Read full review
  • Could instantly show data driven insights to drive 20% incremental revenue over existing results
  • Still don't have a real use case for unstructured data like twitter feed
  • Some of the insights around user actions have driven new projects to automate mundane tasks
Verified User
Anonymous
Read full review
ScreenShots