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Cohere vs DataRobot 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
4.6
Cohere offers cost-effective, faster embedding, with positive feedback, but precise ROI remains unclear due to limited metrics.
Sentiment score
9.0
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
Cohere's Embed English model took less time to embed than OpenAI's embedding ada-002 model.
Engineer at Roche
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Customer Service

Sentiment score
5.4
Cohere's customer support is generally strong, with users largely satisfied and experiencing minimal issues or escalations.
Sentiment score
7.5
DataRobot excels in customer service and scalability, but could improve response speed and documentation for large datasets.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
5.6
Users had mixed scalability experiences with Cohere, noting good performance but slowdowns with high data volumes and embeddings.
Sentiment score
4.6
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
We don't observe many scaling problems because it's an enterprise application.
Founding Engineer at Agentize.AI
 

Stability Issues

Sentiment score
7.5
Cohere is considered stable by users, with no significant downtime issues, meeting current needs efficiently.
Sentiment score
7.7
DataRobot is praised for stability and reliability, with enhancements improving user satisfaction across diverse analytics scenarios.
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
 

Room For Improvement

Enhancing AI search, understanding Oracle ERP, and improving documentation can optimize Cohere's accuracy, similarity search, and embedding metrics.
DataRobot faces customization, integration, and performance challenges; improved AI support, transparency, and community engagement are needed.
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
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.
Engineer at Roche
During the embedding process, measurable metrics are not visible.
DevOps Engineer at CHI Software
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Setup Cost

Cohere has a free development tier, charges for production use, no special licensing needed, but Oracle integration is costly.
<p>DataRobot provides scalable, cost-effective AI solutions with flexible pricing tailored to enterprise needs and usage volume.</p>
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
The prices are competitive compared to competitors.
DevOps Engineer at CHI Software
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Valuable Features

Cohere offers strong support, accurate analysis, and efficient automation, outperforming competitors with its embedding models and cloud-hosted API.
DataRobot automates feature engineering and model testing, enhancing productivity and decision-making with user-friendly, scalable integration.
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
The time savings are significant - what previously took one or two days can now be completed in two to three hours maximum.
Sr Test engineer at a tech vendor with 10,001+ employees
I noticed a 10% improvement in my log system after using Cohere.
Senior Data Scientist at a tech vendor with 10,001+ employees
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
 

Categories and Ranking

Cohere
Ranking in AI Development Platforms
12th
Average Rating
7.6
Reviews Sentiment
6.6
Number of Reviews
7
Ranking in other categories
AI Writing Tools (3rd), Large Language Models (LLMs) (5th), AI Proofreading Tools (5th)
DataRobot
Ranking in AI Development Platforms
15th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AIOps (15th), AI Observability (43rd), AI Finance & Accounting (4th)
 

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 DataRobot is 1.8%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
Cohere1.3%
DataRobot1.8%
Other96.9%
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.
Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
Automation has improved efficiency and decision-making while big data handling and transparency still need work
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Computer Software Company
8%
Educational Organization
8%
Financial Services Firm
7%
Financial Services Firm
13%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere?
My experience with pricing, setup cost, and licensing is that it is expensive to use all Oracle services.
What needs improvement with Cohere?
I am uncertain about how Cohere can be improved. The documentation and support could be improved, as there is limited documentation available on the web.
What is your primary use case for Cohere?
My main use case for Cohere is for LLM and chatbot development. I use Cohere to fill boxes about documents, specifically about tenders. Cohere helps me fill boxes about documents, and I work with d...
What is your experience regarding pricing and costs for DataRobot?
While pricing falls more under my IT colleagues, from my perspective, the overall experience feels justified. The premium pricing is reasonable for the value provided, and I'd say it's worth the in...
What needs improvement with DataRobot?
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black ...
What is your primary use case for DataRobot?
My main use case for DataRobot is to perform predictive analysis and automation of machine learning workflows. I use it to quickly build, test, and deploy models without extensive coding. One of th...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Find out what your peers are saying about Cohere vs. DataRobot and other solutions. Updated: December 2025.
879,711 professionals have used our research since 2012.