23 Domino Enterprise AI Platform Reviews
Unified platform for all the persona and can cater hybrid cloud environment Review collected by and hosted on G2.com.
Domino platform is good but can add more integration from usage point of view Review collected by and hosted on G2.com.
UI and UX interfaces are very well designed. The customer support team really has a lot of detail to understand the problem. And the time savings with result-oriented solutions are incredible. Review collected by and hosted on G2.com.
A little more improvement can be made in the documentation. however, they close this gap well with one-on-one support.Other than that, I haven't experienced any downsides. Review collected by and hosted on G2.com.
Launcher is one of the best things I have come across in domino Review collected by and hosted on G2.com.
Nothing as of yet. Things are good in domino Review collected by and hosted on G2.com.
A unified way to manage and run artificial intelligence, machine learning and data science workloads. It's very easy to run and train model through Domino. The ability to create our own environment is very useful and the integration of Jupiter notebook, Rstudio, visual studio code is very useful and easy to use for developing and debugging. Review collected by and hosted on G2.com.
Not any notable mention here. Just the documents should be made more clear and easy to implement. Sometimes the document are of older release, please improve that, otherwise it's best. Review collected by and hosted on G2.com.
All the crucial data science tools and packages are present for a streamlined ML pipeline. Review collected by and hosted on G2.com.
IPC is bit slow on heavily multithreaded applications like RAY and Rllib. Review collected by and hosted on G2.com.
We can easily connect it to a AWS account that becomes helpful when building environments. Review collected by and hosted on G2.com.
Not came accross any disadvantages that stops work. Review collected by and hosted on G2.com.
Definitely, the best feature is the UI/UX experience and the development and managing of Data Science, Artificial Intelligence and Machine Learning workloads through Domino. Review collected by and hosted on G2.com.
In my case, the installation of the Virtual Private cloud and establishing a connection through domino was an initial hiccup and frustrating experience, rather than that rest was seamless. Review collected by and hosted on G2.com.
Great UI/UX experience. Data Scientists enjoy using the tool. Easily spin up compute and deploy models or apps. Customer success team is very supportive. As a manager of data scientists, I have visibility into their work and activities and can manage costs easily. Review collected by and hosted on G2.com.
Installation into our VPC tool longer than expected. Review collected by and hosted on G2.com.
I love the fact that I can create python R and Jupyter projects for production models. The connections to our data warehouses are pretty seamless and it usually takes less than 1 min to load a project. It also is great to share projects without using github. Review collected by and hosted on G2.com.
I dislike how long it takes upon the initial load time when it updates another project that you have a dependency from. You’re pulling source material and I’m wondering if that load could then be done prior to the startup of a project Review collected by and hosted on G2.com.
