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.
22 out of 23 Total Reviews for Domino Enterprise AI Platform
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Collaborative Environment
Reproducibility
Integration with Tools
Scalability
Automation and Workflow Orchestration
Security and Compliance Features
Model Deployment and Monitoring
User-Friendly Interface
Customer Support
Ease of Implementation
Frequency of use Review collected by and hosted on G2.com.
Learning Curve
Cost: Some users may express concerns about the cost
Customization Challenges: Depending on specific use cases, users might face challenges in customizing certain aspects of the platform to align with their unique requirements Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Security needs to be more emphasized. For example, feature rollouts need to be made stronger by taking care of security/ compliance issues. Review collected by and hosted on G2.com.
Greta integration for optimal creation of AI workflows. Helps to structurize ML platforms well. Review collected by and hosted on G2.com.
Very Constricted to use and not many integrations are present. Workflow integrations are very complicated. Review collected by and hosted on G2.com.
The platform enables an easily copyable agile ML lifecycle for high AI impact. Moreover, it has a very good cost control feature. Review collected by and hosted on G2.com.
Constricts creativity and productivity in a nutshell. Review collected by and hosted on G2.com.
Fast
Cost effective
Aws Azure Gcp under one platform
Ease of scalability Review collected by and hosted on G2.com.
Discusion forum is way lesser than other competitors Review collected by and hosted on G2.com.
It make things easy to train the AI with machine learning, which was complicat to train. Review collected by and hosted on G2.com.
Minor issues when I start to use this platform earlier. Review collected by and hosted on G2.com.
