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Cohere vs IBM Watson Studio comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
5.3
Cohere's competitive pricing and faster embedding enhance application development efficiency, despite challenges in measuring overall return.
Sentiment score
5.0
IBM Watson Studio boosts efficiency, scalability, and lead conversions but seeks improved ROI relative to costs and quick market time.
Cohere's Embed English model took less time to embed than OpenAI's embedding ada-002 model.
Engineer at Roche
Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals.
Senior Solution Architect at Hitachi Systems India Private Ltd
The product offers a significant return on investment through its scalability and integration capabilities.
Process Automation Lead at CONDIACTOR
My customers have seen returns on investment through increased efficiency, automated calculations, improved accuracy in pricing, and reduced staffing needs due to the automation.
Director, Channel and Alliances at Akinon
 

Customer Service

Sentiment score
5.4
Cohere's customer service is positively rated, though some users haven't interacted yet due to lack of significant issues.
Sentiment score
6.8
IBM Watson Studio is praised for its effective and thorough support, often rated highly compared to Dialogflow.
The support quality depends on the SLA or the contract terms.
Process Automation Lead at CONDIACTOR
The community access is weak, which limits the ability to engage in discussions and find documentation and examples of similar cases effectively.
Director, Channel and Alliances at Akinon
I would rate the technical support of IBM Watson Studio a solid ten out of ten.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
6.0
Cohere's scalability is praised for effective response, but some users note slowdowns with large data and extensive scenarios.
Sentiment score
7.1
IBM Watson Studio scales well, adapts to cloud platforms, supports integration, but may require high resources, affecting cost-efficiency.
We don't observe many scaling problems because it's an enterprise application.
Founding Engineer at Agentize.AI
Watson Studio is very scalable.
Process Automation Lead at CONDIACTOR
I have had a chance to communicate with the technical support of IBM Watson Studio, which has been responsive and helpful.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
I rate IBM Watson Studio seven out of ten for scalability because while it scales, it requires significant resources to do so, making it expensive compared to some competitors.
Director, Channel and Alliances at Akinon
 

Stability Issues

Sentiment score
7.8
Users generally find Cohere stable, rating it six out of ten, with no major issues or downtime reported.
Sentiment score
7.6
IBM Watson Studio is praised for its stability and reliability, with recent updates enhancing performance despite occasional large-scale calculation issues.
We haven't had any issues to escalate to Cohere's support because reranking is an optional feature in our product, and we haven't seen any significant issues so far.
Founding Engineer at Agentize.AI
Expertise in optimization is necessary to manage such issues effectively.
Director, Channel and Alliances at Akinon
I find IBM Watson Studio to be quite robust, with minimal downtime and great support regarding stability and reliability.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
 

Room For Improvement

Cohere should enhance visual-text integration, similarity accuracy, dashboard features, documentation, and optimize similarity search distances for improvement.
IBM Watson Studio needs a user-friendly interface, enhanced functionality, better support, and streamlined navigation to improve user experience.
We want such features because when chatting with clients, we can demonstrate that employing Cohere's reranking model significantly improves results compared to not using it.
Founding Engineer at Agentize.AI
Because it does not have extensive understanding of Oracle functionalities in ERP, it sometimes gives wrong results or the confidence score is lower than desired.
Sr Test engineer at a tech vendor with 10,001+ employees
During the embedding process, measurable metrics are not visible.
DevOps Engineer at CHI Software
The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale.
Director, Channel and Alliances at Akinon
One area that could be improved is the backup and restoration of the database and the overall database configuration.
Process Automation Lead at CONDIACTOR
I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task.
Software Engineer at a computer software company with 51-200 employees
 

Setup Cost

Enterprise buyers find Cohere's pricing competitive yet potentially costly when additional services are included, with mixed cost experiences.
IBM Watson Studio's pricing varies, seen as reasonable by some, but costly for complex AI, with regional pricing challenges.
My experience with pricing, setup cost, and licensing is that it is expensive to use all Oracle services.
Senior Data Scientist at a tech vendor with 10,001+ employees
Cohere's pricing, setup cost, and licensing are better.
Senior Solution Architect at Hitachi Systems India Private Ltd
The prices are competitive compared to competitors.
DevOps Engineer at CHI Software
IBM Watson Studio is considered rather expensive, with a rating of six or seven.
Director, Channel and Alliances at Akinon
 

Valuable Features

Cohere provides efficient, reliable, and cost-effective AI features enhancing business productivity through creative, structured, and secure applications.
IBM Watson Studio excels in automation, integration, and user-friendly tools for predictive analytics, machine learning, and big data projects.
This makes it very easy to find and use the catalog to determine whether existing functionality is already implemented, preventing redundant implementations.
Sr Test engineer at a tech vendor with 10,001+ employees
Cohere has positively impacted my organization by helping our customers work more efficiently when creating requests, and the embedding results are of very high quality.
DevOps Engineer at CHI Software
I noticed a 10% improvement in my log system after using Cohere.
Senior Data Scientist at a tech vendor with 10,001+ employees
This capability saves a significant amount of time by automating processes that typically involve manual work, such as data cleaning, feature engineering, and predictive analytics.
Director, Channel and Alliances at Akinon
I believe the AutoAI features of IBM Watson Studio have significantly helped in my data projects by automating model selection and hyperparameter tuning.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
It integrates well with other platforms and offers good scalability.
Process Automation Lead at CONDIACTOR
 

Categories and Ranking

Cohere
Ranking in AI Development Platforms
12th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
AI Writing Tools (3rd), Large Language Models (LLMs) (5th), AI Proofreading Tools (5th)
IBM Watson Studio
Ranking in AI Development Platforms
17th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
17
Ranking in other categories
Data Science Platforms (18th)
 

Mindshare comparison

As of January 2026, in the AI Development Platforms category, the mindshare of Cohere is 1.3%, up from 0.3% compared to the previous year. The mindshare of IBM Watson Studio is 1.5%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
Cohere1.3%
IBM Watson Studio1.5%
Other97.2%
AI Development Platforms
 

Featured Reviews

AS
Engineer at Roche
Have improved project workflows using faster response times and reduced data embedding costs
One thing that Cohere can improve is related to some distances when I am trying similarity search. Let's suppose I have provided textual data that has been embedded. I have to use some extra process from numpy after embedding the model. In the case of OpenAI embedding models, I do not have to use that extra process, and they provide lower distances compared to my results from Cohere. I was getting distances of approximately 0.005 sometimes, but in the case of Cohere, I was getting distances around 0.5 or sometimes more than that. I think that can be improved. It was possibly because of some configuration or the way I was using it, but I am not exactly sure about that.
AA
Director, Channel and Alliances at Akinon
Automated processes improve efficiency while user interface and accessibility need enhancements
IBM Watson Studio, while powerful, lacks user-friendliness. It is not easy to use, particularly for medium or small enterprises or less experienced staff. Another aspect that requires improvement is the complexity involved in computer vision tasks. The integration capabilities have not significantly impacted workflow since there are simpler tools like Alteryx and Nine. The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale. IBM should work on optimizing the user interface and enhancing the product's accessibility for medium and small enterprises.
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Educational Organization
8%
Financial Services Firm
8%
University
7%
Financial Services Firm
12%
Manufacturing Company
11%
Educational Organization
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere?
Compared to models available in the market, Cohere's pricing, setup cost, and licensing are better.
What needs improvement with Cohere?
Cohere could improve in areas where the command model is not as creative as some larger LLMs available in the market, which is expected but noticeable in open-ended generative tasks. Reporting and ...
What is your primary use case for Cohere?
We adopted Cohere primarily for their command model to support enterprise-grade text generation and NLP workflows. There was a use case for one of our customers where they required automated text g...
What is your experience regarding pricing and costs for IBM Watson Studio?
IBM Watson Studio is considered rather expensive, with a rating of six or seven. The pricing could be optimized relative to the features and capabilities of the product.
What needs improvement with IBM Watson Studio?
I think IBM Watson Studio can be improved. I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task. Also, I think pricing is a bit high.
What is your primary use case for IBM Watson Studio?
My main use case for IBM Watson Studio is the end-to-end ML life cycle. A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built...
 

Also Known As

No data available
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
 

Overview

 

Sample Customers

Information Not Available
GroupM, Accenture, Fifth Third Bank
Find out what your peers are saying about Cohere vs. IBM Watson Studio and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.