--- title: Red Hat OpenShift Data Science Reviews meta\_title: 'Red Hat OpenShift Data Science Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 31 reviews by the users' company size, role or industry to find out how Red Hat OpenShift Data Science works for a business like yours. aggregate\_rating: rating\_value: 4.4 review\_count: 31 scale: '5' date\_modified: '2026-08-10' parent\_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Red Hat OpenShift Data Science Reviews & Product Details Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps. * * * Seller [Red Hat](https://www.g2.com/sellers/red-hat) Discussions [Red Hat OpenShift Data Science Community](https://www.g2.com/products/red-hat-openshift-data-science/discuss) Solution Type Best-of-Breed Show More ## Top-Rated Alternatives [ ![Databricks](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Databricks") Databricks 4.6/5(1,364) ](https://www.g2.com/products/databricks/reviews) [ ![IBM watsonx.ai](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "IBM watsonx.ai") IBM watsonx.ai 4.4/5(153) ](https://www.g2.com/products/ibm-watsonx-ai/reviews) [ ![Amazon SageMaker](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amazon SageMaker") Amazon SageMaker 4.3/5(57) ](https://www.g2.com/products/amazon-sagemaker/reviews) [ View All Alternatives ](https://www.g2.com/products/red-hat-openshift-data-science/competitors/alternatives) ## User Insights Average based on 31 real user reviews. [Log in to unlock pricing and user insights](/login) ## Red Hat OpenShift Data Science Integrations (4) What do users say about integrations? Integration information sourced from real user reviews. [ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Ameyo by Exotel Cloud Contact Center ](https://www.g2.com/products/ameyo-by-exotel-cloud-contact-center/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Apache Kafka ](https://www.g2.com/products/apache-kafka/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") GitHub ](https://www.g2.com/products/github/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Red Hat OpenShift ](https://www.g2.com/products/red-hat-red-hat-openshift/reviews) Show More ![Nazim Abdul Aziz S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nazim Abdul Aziz S.") NS Nazim Abdul Aziz S. Senior Administrator Consultant Mid-Market (51-1000 emp.) 7/28/2026 "Game Changer in tech world specially in Devops." 4.5/5 What do you like best about Red Hat OpenShift Data Science? The best thing about Red Hat OpenShift is its portability. I can share my work or projects easily with my team, which saves a lot of time and avoids configuration blunders. It’s also very reliable, and it honestly makes me feel like I’m sharing a song or a movie like in the old days, from one mobile to another. I just love it—it’s so simple. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? The main thing I don’t like about Red Hat OpenShift is that the built-in pod consume a lot of resources, and sometimes it’s difficult to manage the configuration of pods and other components. This can lead to higher cloud bills. Also, most of the time, to resolve any issues or configuration-related problems, I have to depend entirely on the Red Hat team, unlike other applications where solutions are easily available on the internet. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? One of the biggest problems that Red Hat OpenShift solves is that, once it’s configured, everything just works smooothly. After that, we can easily manage our application services from any company laptop without running into version errors or compatibility issues. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Rinu L.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rinu L.") RL Rinu L. DevOps Engineer Mid-Market (51-1000 emp.) 7/28/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Red Hat OpenShift Data Science: Scalable and Reliable Enterprise AI/ML Platform" 4.5/5 What do you like best about Red Hat OpenShift Data Science? Easy-to-use interface for data science workflows Scalable environment for ML workloads Strong security and role-based access control Good collaboration for data science teams Reliable performance for model training and deployment Reliable enterprise support from Red Hat Seamless integration with Red Hat OpenShift and Kubernetes Good value for enterprise AI/ML workloads Support model training and deployment Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? Initial setup can be complex Higher learning curve for beginners Enterprise licensing can be expensive Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? Centralized AI/ML development \> improves collaboration Simplifies model training and deployment \> faster delivery Scalable Kubernetes platform \> handles growing workloads Built-in security and access control \> better governance Reduce infrastructure management \> lets teams focus on building models Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Pratik K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pratik K.") PK Pratik K. Senior Technical Specialist Enterprise (\> 1000 emp.) 8/3/2026 "Unified ML Platform That Integrates Seamlessly with Kubernetes and OpenShift" 5/5 What do you like best about Red Hat OpenShift Data Science? Its ability to provide a unified platform to developing, training, deploying and managing machine learning models, it integrates well with kubernetes and OpenShift. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? Red Hat Openshift data scinece has a step learning curve and intial setup can be complex for new users. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? Red Hat Data Science provides a centralised platform for building, training, and deploying machine learning models, reducing development complexity and improving collaboration. It helps accelerate AI/ML projects, streamline MLOps workflows, and scale models efficiently across enterprise environments. Review collected by and hosted on G2.com. Show More 8/6/2026 Validated ReviewerSource: G2 invite ![Anand M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anand M.") AM Anand M. Manager Enterprise (\> 1000 emp.) 7/29/2026 "Best On-Prem Container Platform with Strong MLOps Support" 4.5/5 What do you like best about Red Hat OpenShift Data Science? It is best on premise solution for running container and extend support for cloud for urgent use cases for data science.it support for full MLops tools like kubeflow and jupyter notebook. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? It’s a bit cumbersome to set up, and the licensing process for AI and GPU infrastructure is also cumbersome. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? It’s helpful for running data science experiments and for tracking KPIs and results. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Ariel R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ariel R.") AR Ariel R. Process Engineer Enterprise (\> 1000 emp.) 7/22/2026 "Micro-Segmentation That Elevates Our App Services" 5/5 What do you like best about Red Hat OpenShift Data Science? The most thing which im use is the micro segmentation for my services in my app Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? The compatibility with old os, like centos and hard troubleshooting Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? My app’s uptime has improved because when one service fails, it’s isolated from the others, so it doesn’t impact the app’s overall uptime. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite KR kelly R. Digital Media Manager Marketing and Advertising Mid-Market (51-1000 emp.) 1/3/2024 "Allows you to explore and discover valuable insights" 5/5 What do you like best about Red Hat OpenShift Data Science? My overall experience with Red Hat OpenShift Data Science has been excellent. The software has exceeded my expectations in terms of its performance and ease of use. Additionally, the support and documentation provided by Red Hat has been extremely helpful in resolving any issues or concerns that have arisen. It is especially suitable for research and development projects, as well as for companies that require real-time data analysis. Its ability to process large volumes of data and its integration with other tools allows users to efficiently. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? I can only say from my experience that some advanced features may require more specialized technical knowledge, which may limit their use for those who are less familiar with data analysis. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? It has allowed me to perform complex data analysis efficiently and obtain valuable insights for my organization. This software allows us to access advanced tools and functions to process large amounts of data and extract valuable insights. Its use case ranges from data analysis and visualization to the creation of predictive models and the implementation of real-time solutions. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Adrian Andres J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adrian Andres J.") AJ Adrian Andres J. Accounting and Reporting Analyst Enterprise (\> 1000 emp.) 9/21/2023 "Transforming Business Analysis: Containerization for Agile Collaboration" 4.5/5 What do you like best about Red Hat OpenShift Data Science? Containerization offers unrivaled scalability and flexibility in the area of finance, where working with large datasets and complicated algorithms is standard. It enables us to containerize our data science workloads, ensuring reliable performance in a range of settings. This feature greatly speeds up the creation and deployment of financial models. Our financial analysis team benefits greatly from the collaboration that Red Hat OpenShift Data Science fosters. We can work on projects at the same time, keep track of changes, and smoothly combine contributions thanks to its interaction with Git and other version control systems. When working with several stakeholders that need to analyze and contribute to financial models and studies, this skill is important. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? Scalability-enabling containerization may also need a lot of resources. Running numerous containers at once might place a burden on hardware resources and demand a lot of processing power. Hardware changes might be required as a result, which would raise the overall implementation cost. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? My responsibilities include managing crucial financial analysis, risk evaluations, and modeling. We have changed our strategy with the help of Red Hat OpenShift Data Science. Finance is based on collaboration, which Red Hat OpenShift Data Science excels at fostering. Our financial assessments now have better quality because of version control, collaboration on projects, and traceability of changes. Now, our team can work together to develop intricate models while utilizing the unique skills of each team member. We got answers more quickly, which allowed us to decide on our investment portfolio in real time. Now that we have complete transparency into the contributions and modifications made by each team member, we can work together to construct complex financial models. This has increased the precision of our models while also speeding up project completion. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite JM Jaime M. Senior Accounting and Finance Manager Market Research Mid-Market (51-1000 emp.) 9/18/2023 "Real-Time Data Processing and Collaboration: The Key to Business Success with OpenShift Data Science" 4.5/5 What do you like best about Red Hat OpenShift Data Science? Hat Red With containerization, OpenShift Data Science offers a distinctive method for managing data science workflows. We may use this capability to package up our financial models, algorithms, and data pipelines, assuring consistency and reproducibility throughout different phases of research. It streamlines the creation and application of sophisticated financial models, improving the effectiveness of our job. Data that is current is essential for financial analysis. We can evaluate and respond to financial data as it is generated or received thanks to OpenShift Data Science's capability for real-time data processing, which distinguishes it from many other platforms. For monitoring market trends, adapting investment plans to shifting economic conditions, and tracking market movements, this real-time capability is crucial. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? The platform can become quite demanding when dealing with large amounts of data. A robust hardware infrastructure is necessary to take full advantage of its capabilities. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? By enabling us to containerize complex models, OpenShift Data Science and Machine Learnig platform has substantially enhanced my job and sped up our financial modeling and forecasting procedures. The transition from development to production is made easier and results are guaranteed to be consistent. Our approach to handling financial data has changed as a result of its containerization, real-time data processing, and collaborative capabilities. I and other finance professionals can make quick, accurate judgments based on data thanks to this platform. Financial success depends on staying ahead of market trends and economic upheavals. We have the ability to quickly make educated decisions thanks to real-time data processing capabilities. As a result, we are better able to predict the financial future, which helps us plan out our resource allocation and investment strategies more effectively. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite MP Marcos P. Financial Analyst Market Research Mid-Market (51-1000 emp.) 9/1/2023 "The powerfulness of model deployment" 4.5/5 What do you like best about Red Hat OpenShift Data Science? When it comes to effortlessly incorporating containerization into the machine learning workflow, Red Hat OpenShift Data Science excels. This functionality makes sure that machine learning models created in one environment can be reliably applied during other production and development stages. It makes the transition from development to production seamless and gets rid of the compatibility problems sometimes connected with model deployment. It offers a central platform where analysts, engineers, and data scientists can easily cooperate. This collaborative setting encourages knowledge exchange, quickens project turnaround times, and improves the caliber of machine learning models. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? Red Hat OpenShift Data Science shines as a reliable platform in the field of machine learning. It has excellent orchestration of ML pipelines. Nonetheless, there is still potential for improvement in terms of streamlining the deployment procedure and providing a more seamless conversion from model development to practical use. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? For predictive maintenance, we had to implement a sophisticated machine learning model. The model performed consistently in our production environment thanks to the containerization characteristics of Red Hat OpenShift Data Science. This not only helped us save time, but it also increased the model's dependability, enabling us to take preventative maintenance measures to minimize downtime. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite MG miguel g. Small-Business (50 or fewer emp.) 8/28/2023 "Innovative and powerful solution for advanced analytics." 4.5/5 What do you like best about Red Hat OpenShift Data Science? Excellent platform that combines the flexibility and scalability of Red Hat OpenShift with the capabilities of data science. This solution offers a centralized, integrated environment that makes it easy to develop, deploy, and manage data science applications. The ability to transform large volumes of data into relevant and actionable information has fueled the growth and success of many companies. Review collected by and hosted on G2.com. What do you dislike about Red Hat OpenShift Data Science? There is nothing that I dislike about this platform since it allows data scientists to work with the best tools that fit each need and the best preferences in the best way. Review collected by and hosted on G2.com. What problems is Red Hat OpenShift Data Science solving and how is that benefiting you? This platform makes it easy to integrate with popular tools and languages like Jupyter Notebooks, Python, and R. This best enables data scientists to work with the tools that best fit their needs and preferences, allowing for easy scalability and flexibility of data science environments. This ensures that applications can grow with the changing needs of the organization. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ## Questions about Red Hat OpenShift Data Science? Ask real users or explore answers from the community Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights. 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[ View More Pricing Information ](https://www.g2.com/products/red-hat-openshift-data-science/pricing) Red Hat OpenShift Data Science Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image") Databricks 4.6/5(1,364) [ Compare Now ](https://www.g2.com/compare/databricks-vs-red-hat-openshift-data-science) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-ai.jpg "Product Avatar Image") IBM watsonx.ai 4.4/5(153) [ Compare Now ](https://www.g2.com/compare/ibm-watsonx-ai-vs-red-hat-openshift-data-science) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_b3390b4cc3d92e87d570895f7358c003/amazon-sagemaker.jpg "Product Avatar Image") Amazon SageMaker 4.3/5(57) [ Compare Now ](https://www.g2.com/compare/amazon-sagemaker-vs-red-hat-openshift-data-science) ##### ##### Red Hat OpenShift Data Science Features Model Development Language Support Drag and Drop Pre-Built Algorithms Machine/Deep Learning Services Computer Vision Natural Language Processing Natural Language Generation Deployment Managed Service Application Scalability System Data Ingestion & Wrangling [ View More Features ](https://www.g2.com/products/red-hat-openshift-data-science/features) ## Work at Red Hat? 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