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Unleashing Enterprise AI with the robust MLOps
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Domino's automation capabilities helped in rapidly deploying new models when needed. It also has provided visibility to other teams working on MLOps.
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Very constricted and not tech friendly
What do you like best about the product?
Greta integration for optimal creation of AI workflows. Helps to structurize ML platforms well.
What do you dislike about the product?
Very Constricted to use and not many integrations are present. Workflow integrations are very complicated.
What problems is the product solving and how is that benefiting you?
Provides a central MLOps platform to see all the Algorithms & how are functioning. A centralized system helps keep the productivity up.
Great Central System for productive tracking.
What do you like best about the product?
The platform enables an easily copyable agile ML lifecycle for high AI impact. Moreover, it has a very good cost control feature.
What do you dislike about the product?
Constricts creativity and productivity in a nutshell.
What problems is the product solving and how is that benefiting you?
Its a central ML algorithm platform which explains in a nutshell all the Algorithms that are in production and their performance.
Domino Entreprise good tool for MLOps
What do you like best about the product?
Unified platform for all the persona and can cater hybrid cloud environment
What do you dislike about the product?
Domino platform is good but can add more integration from usage point of view
What problems is the product solving and how is that benefiting you?
Used primarily for end to end Machine learning ops activities which include model training, testing, model retraining etc
Domino Enterprise MLops platform
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
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.
Domino - Dominating the ML Ops
What do you like best about the product?
Fast
Cost effective
Aws Azure Gcp under one platform
Ease of scalability
Cost effective
Aws Azure Gcp under one platform
Ease of scalability
What do you dislike about the product?
Discusion forum is way lesser than other competitors
What problems is the product solving and how is that benefiting you?
End to end machine learning model deployments
Great tool for MLOps development
What do you like best about the product?
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.
What do you dislike about the product?
Security needs to be more emphasized. For example, feature rollouts need to be made stronger by taking care of security/ compliance issues.
What problems is the product solving and how is that benefiting you?
Helps to keep up development workflows for distributed ML models solving large-scale warehouse robotics problems
Fantastic tool. Helping us almost in every single thing of project
What do you like best about the product?
Launcher is one of the best things I have come across in domino
What do you dislike about the product?
Nothing as of yet. Things are good in domino
What problems is the product solving and how is that benefiting you?
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.
effective and fully result-oriented IT and Cloud consultancy
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
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.
Powerful MLOps platform
What do you like best about the product?
All the crucial data science tools and packages are present for a streamlined ML pipeline.
What do you dislike about the product?
IPC is bit slow on heavily multithreaded applications like RAY and Rllib.
What problems is the product solving and how is that benefiting you?
Maintaining and streamlining the Machine learning pipeline has never been easier.
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