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Red Hat OpenShift Data Science
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Red Hat OpenShift Data Science Reviews & Product Details - Page 2

Red Hat OpenShift Data Science Product Details

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25 Red Hat OpenShift Data Science Reviews

4.4 out of 5
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25 Red Hat OpenShift Data Science Reviews
4.4 out of 5
25 Red Hat OpenShift Data Science Reviews
4.4 out of 5

Red Hat OpenShift Data Science Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
BI
Marketing Specialist
Marketing and Advertising
Mid-Market (51-1000 emp.)
"A complete solution for our organization"
What do you like best about Red Hat OpenShift Data Science?

What I like most about this tool is that it offers a huge number of tools and services that make it easy to integrate and analyze data from different sources and formats. It also allows you to run machine learning models both internally and in hybrid cloud environments. Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

Since we are using this tool, we can say that it is one of the great ones that we have used, besides that we have not found any fault with this product since it is very easy to manage container applications and the problems related to them, such as the Scanning of container images and related values before production deployment. Review collected by and hosted on G2.com.

Antonella S.
AS
Digital Marketing Manager
Enterprise (> 1000 emp.)
"Innovative Solutions and Full Potential of Data Science with Red Hat OpenShift"
What do you like best about Red Hat OpenShift Data Science?

The robust Red Hat OpenShupblueift Data Science platform has completely transformed how we approach data science and machine learning. It offers a variety of distinctive features that make it stand out from other media, and I have found it to be a valuable tool in my job. Every process stage, from data discovery and model building to testing and deployment, is integrated into a user-friendly platform. It has dramatically decreased the time and effort needed to create and implement machine learning models, enabling us to provide outcomes more quickly and effectively. Multiple team members may work on the same project concurrently using Red Hat OpenShift Data Science, exchanging ideas and collaborating in real-time. As a result, our team's productivity has significantly increased, creating a more inclusive and collaborative work atmosphere. Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

The process of integrating external AI models is one such topic. The platform offers integration, but it can be complicated and drawn out. Users could use AI-powered automation if the procedure were made more accessible, increasing the platform's functionality. Review collected by and hosted on G2.com.

ED
Mid-Market (51-1000 emp.)
"Unleash the Power of Data Science with Red Hat OpenShift"
What do you like best about Red Hat OpenShift Data Science?

By providing a seamless platform for collaboration for data scientists, developers, and IT operators, Teams can collaborate effectively on this single platform, speeding up the creation and deployment of AI/ML models in hybrid cloud settings, in the public cloud, or at the edge. Its ecosystem incorporates various well-known data science tools and applications from business partners, giving customers access to extensive data lifecycle capabilities. Red Hat OpenShift Data Science allows users to quickly construct and deploy containerized machine learning pipelines powered by data. Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

Red Hat OpenShift Data Science offers some data storage options; however, reducing the procedure for connecting to and importing data from outside sources will improve the user experience and make acquiring data for modeling and analysis easier. Review collected by and hosted on G2.com.

Alexander S.
AS
Marketing Specialist
Enterprise (> 1000 emp.)
"Excellent essential tool for current companies"
What do you like best about Red Hat OpenShift Data Science?

I like this platform because in the best way it offers Ease of Use, it offers an intuitive user interface and easy to use, which makes it easy and effective to use, it allows an integration of open source tools that offers it to be a flexible and scalable solution to handle large volumes of data, it also offers us a secure environment for data management, which is essential to guarantee privacy and the protection of confidential information Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

I don't dislike this platform at all because it is complete for business data management and analysis. Although it can be a bit expensive, its features, functionality and benefits make it a value-added solution, which is a great advantage in terms of efficiency and time. Review collected by and hosted on G2.com.

Margaret Z.
MZ
Salesforce Developer
Enterprise (> 1000 emp.)
"Allows data to be handled more efficiently"
What do you like best about Red Hat OpenShift Data Science?

I love this instrument because this platform gives automatic learning tools and models for prototypes quickly of study models and apply them to the data of your organization, it is a cloud application containers platform that allows you to produce, carry out and rule Container applications. It also allows you to minimize waiting times, promote innovation and increase the cost of the data Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

It could be more expensive than other data science platforms, especially if you need to use extra services, however there are no bad operations in terms of functionality of this solution, being one of the most efficient of its kind Review collected by and hosted on G2.com.

Lucia R.
LR
Sales Analyst
Market Research
Enterprise (> 1000 emp.)
"Enables business development in IT"
What do you like best about Red Hat OpenShift Data Science?

I like it because it is all in one in application management, it is a system that allows organizations to be able to develop new applications or even be able to manage existing ones, modernizing them to their requirements in an easy-to-use interface, this system allows the workflow to be more fast and efficient since it allows the codes to be more easily managed, from the cloud or even in a hybrid way, there are many functions that are new and necessary in this system Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

I have no criticism, since Red Hat has been constantly improving to offer good solutions, this one in particular helps companies to develop advanced technology according to what they require and even take their applications and systems to a new level safely Review collected by and hosted on G2.com.

Thobias B.
TB
Technology Consultant
Information Technology and Services
Enterprise (> 1000 emp.)
"A tool to analyze functional data"
What do you like best about Red Hat OpenShift Data Science?

I like this tool because it offers unique possibilities for data collection with artificial intelligence advice, which guarantees greater precision and speed, this solution is also compatible with different types of languages used in programming, so the adaptation in the organization is ensured, in addition allows to have even data patterns in an updated way for better process creations Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

I have no problems, it is necessary to know what this system is about if you want this system to be technologically usable in the organization, but I do not consider that they are negative aspects when using this system Review collected by and hosted on G2.com.

Niranjan2 S.
NS
Mid-Market (51-1000 emp.)
"Accelerate Your Data Science Workflows with Red Hat Openshift"
What do you like best about Red Hat OpenShift Data Science?

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 Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

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 Review collected by and hosted on G2.com.

SD
Associate Engineer
Enterprise (> 1000 emp.)
"Amazing Application"
What do you like best about Red Hat OpenShift Data Science?

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. Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

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. Review collected by and hosted on G2.com.

Harshit A.
HA
Software Engineer
Mid-Market (51-1000 emp.)
"Powering Machine Learning Workflows with Red Hat OpenShift"
What do you like best about Red Hat OpenShift Data Science?

I really like how efficient and secure Red Hat OpenShift Data Science is, and the interface is easy to use. Plus, being open source gives me more control over my data and reduces vendor lock-in. Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

While I really like it. But since community is still growing, the documentation and technical support could be better, and I'd love to see more options for auto-scaling based on statistics. Review collected by and hosted on G2.com.

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Red Hat OpenShift Data Science Features
Language Support
Drag and Drop
Pre-Built Algorithms
Computer Vision
Computer Vision
Application
Managed Service
Application
Language Support
Drag and Drop
Red Hat OpenShift...