Domino Reviews

They provide the best AI, ML, data science solutions for various applications. I personally used their tools integrated in mathworks and anaconda. The users are now able to access various python ML pakages and R pakages in anaconda. Data science became more easy with those R pakages. In matlab, this platform helps a lot to run simulations easily. Moreover all the pakages are extremly fast and seamless.

I feel the prices are high which can be reduced. The integration of domino with mathworks or anaconda can be made easier with less customization effort. The tools can be made handyy for a layman.

I mainly integrated domino with anaconda and matlab. It provides a lot of ML/Data science/R pakages which is very helpful. In case of matlab, it helps a lot of simulation seamless. The main usecase is that it comes with the bundle of all previously implemented libraries.

Launcher is one of the best things I have come across in domino

Nothing as of yet. Things are good in domino

Domino helps us ingest the data in any database and it also helped me to set jobs that run on daily basis to refresh the data. Definitely a go-to tool for me.

Simple user interface and great customer support

Some of the operations are difficult to manage

We were creating some gpt's for our product

It make things easy to train the AI with machine learning, which was complicat to train.

Minor issues when I start to use this platform earlier.

I was using other platform to train and deploy the AI, the quality of data is not upto the mark which requires to rework on it. MLops platform performance so good to deploy.

Domino Enterprise MLops platform is a unified platform for data science and analytics. It helps to boost team productivity and minizine costs. It's self serve AI Infrastructure is terribly fast and can scale upto lots of clusters depending on the workload. The Domino MLOps Integration actually accelarates the time to production at scale.

Although Domino provides a good insight to their MLOps integrated platform, As a new user or beginner for generative-AI, it's challenging to understand the implementation steps to deploy the model to public cloud and monitor the models. Also it would be helpful if their service or customer support team provides guide for one click CICD workflow to deploy models.

Domino MLOps platform provides unified model registry where it allows to track all models regardless of where they were trained. Also it allows to schedule batch jobs to enrich Data at rest for analytics and also mitigate potential security risk with automated workflows with regulatory controls.

A comprehensive platform that seamlessly integrates the various stages of the machine learning lifecycle. Eases the collaboration among data scientists, engineers, and other stakeholders. Robust and scalable platform with simple user-friendly interface that caters to both data scientists and IT professionals, regardless of their technical expertise.

The learning curve for new users can be high especially for those unfamiliar with similar MLOps platforms. It also lacks integrations with new AI/ML platforms.

Domino's automation capabilities helped in rapidly deploying new models when needed. It also has provided visibility to other teams working on MLOps.

Domino's platform has user friendly interface that makes it easier to collaborate with teams and deploy models. The centralized environment helps in efficiently managing all the functionalities. Seamless integration with data science tools and cloud platforms.

Complex implementation process for larger companies. Integration with third party applications require additional customizations. Customer support and training documents can be better. Needs adequate knowledge to work on this platform, hence not beginner friendly.

Collaboration features for team interaction with good interface simplified workflows. Personalised dashboards and customizable features helps users to enhance the overall productivity. Improved performance with various data tools and cloud platforms. Restructuring training documents gives more knowledge in understanding of the platform.

Collaboration capabilities are really cool - I'm able to work with a distributed DS team across various time zones without any loss of context or productivity and enable 24x7 delivery/ support. Self-service provisioning of infra is also really handy to enable EC2 scaleup on-demand. The number of languages it supports is also unbelievable - super helpful to remove dependencies on frameworks used.

Security needs to be more emphasized. For example, feature rollouts need to be made stronger by taking care of security/ compliance issues.

Helps to keep up development workflows for distributed ML models solving large-scale warehouse robotics problems

Unified platform for all the persona and can cater hybrid cloud environment

Domino platform is good but can add more integration from usage point of view

Used primarily for end to end Machine learning ops activities which include model training, testing, model retraining etc

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.

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.

We needed a platform to manage a large number of data and transfer this data over the cloud. At this point, Domino products contributed to us.The compatibility with AWS was also really impressive.