Domino vs OpenShift: What are the differences?

1. Deployment Model: One key difference between Domino and OpenShift is the deployment model they follow. Domino offers a more managed and controlled environment for deploying data science models and workflows, focusing on reproducibility and collaboration. On the other hand, OpenShift is more versatile and allows for deploying a wide range of applications in various environments, offering greater flexibility in deployment options.

2. Focus: Another significant difference between Domino and OpenShift is their primary focus. Domino is specifically designed for data science teams and focuses on providing tools and features tailored to the needs of data scientists, such as version control, reproducibility, and collaboration. OpenShift, on the other hand, is more general-purpose and caters to a broader range of applications beyond data science, offering features for DevOps, microservices, and container orchestrations.

3. Scalability: When it comes to scalability, Domino and OpenShift differ in their approach. Domino is optimized for scaling data science workloads efficiently, allowing users to run complex computations on large datasets with ease. OpenShift, on the other hand, is built for scaling applications across clusters of containers, providing more robust scalability options for enterprise-level deployments.

4. Community Support: The level of community support for Domino and OpenShift also sets them apart. Domino has a smaller but dedicated community of data scientists and researchers who contribute resources and best practices specific to data science workflows. OpenShift, being an open-source platform, benefits from a larger community of developers and contributors, offering a broader range of plugins, extensions, and integrations.

5. Workflow Automation: Domino and OpenShift differ in their approach to workflow automation. Domino emphasizes automation and reproducibility in data science workflows, providing tools for automated versioning, experimentation tracking, and model deployment. OpenShift focuses more on automating the deployment, scaling, and management of applications across containerized environments, with features like auto-scaling, self-healing, and continuous integration/continuous deployment (CI/CD) pipelines.

6. Cost Structure: Lastly, the cost structure of Domino and OpenShift varies significantly. Domino typically follows a subscription-based pricing model with tiered pricing plans based on the number of users and computational resources required. OpenShift offers a flexible pricing model based on resource usage, with options for self-managed and managed services, allowing users to pay only for the resources they consume.

In Summary, Domino and OpenShift differ in their deployment models, focus, scalability, community support, workflow automation, and cost structure.