We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they can merge their changes with the main project.
Accelerated machine learning model development with seamless deployment
What is our primary use case?
How has it helped my organization?
Domino made developments easier, which indicates a good investment as it reduced development time significantly.
What is most valuable?
The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino. Additionally, deploying a model using Domino was quick. Domino's API also speeds up the deployment process.
What needs improvement?
The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that cannot handle big deployments, which is not suitable for LLMs.
For how long have I used the solution?
What do I think about the stability of the solution?
Domino is quite stable. I would rate it nine out of ten for stability.
What do I think about the scalability of the solution?
Since we didn't work with big data, stability and scalability were not major concerns. Domino is based on Kubernetes, allowing easy configuration of the number of workers or machines needed, with no issues in scaling.
How are customer service and support?
The technical support team was very helpful. They sometimes visited us in person. However, creating new features could take some time because they had to consult other customers.
How would you rate customer service and support?
Neutral
What about the implementation team?
A team of six or seven people were needed for maintenance on Domino.
What was our ROI?
Domino delivered return on investment by facilitating easier development work, even though I don't have specific numbers.
What's my experience with pricing, setup cost, and licensing?
There is a licensing fee per user and additional costs for customer support. I don't know the exact pricing, but it's likely above average.
What other advice do I have?
It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying solely on data scientists might not be sufficient.
I'd rate the solution eight out of ten.
Which deployment model are you using for this solution?
On-premises
