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Red Hat OpenShift AI

Red Hat | 1

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External reviews

25 reviews
from G2

External reviews are not included in the AWS star rating for the product.

    Niranjan2 S.

Accelerate Your Data Science Workflows with Red Hat Openshift

  • March 10, 2023
  • Review provided by G2

What do you like best about the product?
Secure and scalable deployment: OpenShift Data Science allows data scientists to deploy their models at scale in a safe and scalable environment. The platform includes features such as automated scaling and data encryption to ensure data security and availability
What do you dislike about the product?
The potential challenge is that Red Hat OpenShift Data Science is a complex platform requiring some technical expertise to set up and use effectively. Users may need to spend some time learning how to use the platform and configuring it to meet their specific needs
What problems is the product solving and how is that benefiting you?
Scalability: OpenShift Data Science enables data scientists to scale their workloads quickly and efficiently.Collaboration: Data scientists often work in teams and require a collaborative environment to share their work and collaborate effectively. Data scientists spend a significant amount of time managing data. OpenShift Data Science provides tools for managing data efficiently, including data storage, data processing. Data science workflows can be complex and time-consuming. OpenShift Data Science automates many of the repetitive tasks involved in the data science workflow, freeing up time for data scientists to focus on more complex tasks

    Samar D.

Amazing Application

  • March 10, 2023
  • Review provided by G2

What do you like best about the product?
The programme provides a collaborative workspace in which data scientists and analysts may collaborate on projects, discuss ideas, and write code together. The software comes with a comprehensive data science toolset that includes popular programming languages such as Python and R, data visualisation tools, machine learning techniques, and data preparation tools. The software is straightforward to use, having a user-friendly interface that enables data scientists and analysts to operate rapidly and effectively.
What do you dislike about the product?
While the programme is intended to be user-friendly, it can nevertheless be difficult for non-technical users, particularly those unfamiliar with container-based platforms. Because Red Hat OpenShift Data Science software is a commercial product, it might be costly for smaller enterprises or individual users. Users may need to put in time and effort to learn how to utilise the programme efficiently, especially if they are unfamiliar with container-based platforms or data science.
What problems is the product solving and how is that benefiting you?
Red Hat OpenShift Data Science software is a fantastic alternative for enterprises that demand a versatile, collaborative, and secure data science platform. It provides a comprehensive data science platform, including machine learning methods, data visualisation tools, and data preparation tools. But, organisations should be aware of the software's complexity and cost, and be prepared to invest time and effort in learning how to utilise it effectively. Overall, Red Hat OpenShift Data Science software offers a powerful and dependable option for data science applications.

    Shruti S.

Good product

  • March 07, 2023
  • Review provided by G2

What do you like best about the product?
The user experience is good. Easy to navigate and learn. Document and reporting is easy
What do you dislike about the product?
None as on today. Maybe be more training content.
What problems is the product solving and how is that benefiting you?
It's helping to manage the workflow for the functionality of team production .

    Automotive

Red Hat OpenShift Data Science

  • March 11, 2022
  • Review provided by G2

What do you like best about the product?
Open source, no vendor lock-in and it is also very secure platform
What do you dislike about the product?
Not dislike, it's still a growing community, so sometimes, I do not find major online support when I search
What problems is the product solving and how is that benefiting you?
I encountered it for data science projects I needed to work on. It was easy to use and not so bad to set up. I used the public cloud platform

    Transportation/Trucking/Railroad

Testing made easy.

  • October 05, 2021
  • Review provided by G2

What do you like best about the product?
Smooth use and integration of third party ML tools like Anaconda, IBM Watson Studio etc.
What do you dislike about the product?
Nothing much to dislike, its a really rapid tool and is a must for every data scientist to try once.
What problems is the product solving and how is that benefiting you?
I had a prototype built for demand allocation, wanted to test it out on various different containers. The most important benefit was the iteration time, it was amazingly fast.
Recommendations to others considering the product:
It is a must try especially for prototyping with Flask, uWSGI, NGINX and docker.

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