Domino is an AI platform designed for larger companies, especially in industries like Life Sciences and Finance, that want to use data science more effectively.
Think of it as a central hub where your teams can build, launch, and manage AI projects more efficiently. It helps you keep track of everything, work together better, and ensures your AI projects follow the rules.
Domino also helps you avoid getting locked-in with a single provider by offering flexibility in choosing tools and infrastructure.
Who is Domino Enterprise MLOps Platform best for
Domino Enterprise MLOps Platform helps life sciences and financial services companies streamline AI projects. Users praise its centralized platform, collaboration features, and scalability. However, some note high pricing and complex setup. Perfect for medium to large businesses seeking robust MLOps.
Best for medium to large enterprises (100-1000+ employees), especially in life sciences and finance.
Ideal for regulated industries needing robust model governance and compliance.
Domino Enterprise MLOps Platform features
Type in the name of the feature or in your own words tell us what you need
Supported
Domino supports GPU training via NVIDIA GPUs and DGX systems.
Domino provides tools and frameworks for building, training, and deploying AI models.
Qualities
We evaluate the sentiment that users express about non-functional aspects of the
software
Value and Pricing Transparency
Rather positive
+0.33
Customer Service
Neutral
+0
Ease of Use
Rather positive
+0.64
Reliability and Performance
Strongly positive
+1
Ease of Implementation
Strongly negative
-0.71
Scalability
Strongly positive
+1
Domino Enterprise MLOps Platform reviews
We've summarised 23 Domino Enterprise MLOps Platform reviews (Domino Enterprise MLOps Platform G2 reviews) and
summarised the main points below.
Pros of Domino Enterprise MLOps Platform
Provides a centralized platform for managing and streamlining the entire ML lifecycle.
Facilitates collaboration and efficient workflow management for data science teams.
Offers a user-friendly interface suitable for both technical and non-technical users.
Enables easy scalability and integration with various tools and cloud platforms.
Comprehensive suite of data science tools and packages available.
Cons of Domino Enterprise MLOps Platform
High pricing concerns mentioned by multiple users.
Initial setup and VPC integration can be complex and time-consuming.
Steep learning curve, especially for those unfamiliar with MLOps platforms.
Limited integrations with newer AI/ML platforms.
Inter-process communication (IPC) slowdowns reported with multithreaded applications.
Domino Enterprise MLOps Platform pricing
The commentary is based on 3 reviews from Domino Enterprise MLOps Platform G2 reviews.
Domino offers two platform tiers: Premium and Enterprise, each designed for different enterprise sizes and needs. They offer flexible deployment options (SaaS, on-premises, or cloud VPC) and two user license types: Data Science Professional and Data Analyst. Several add-ons are available, including FinOps for cost management, Nexus for hybrid/multi-cloud workloads, and Governance for compliance. Purchases can be made directly or through cloud marketplaces like AWS and Azure. Specific pricing is not listed and requires contacting Domino for a quote.
Better for smaller teams needing automated machine learning with a no-code approach. Qlik AutoML is growing faster and offers tighter integration with Qlik's data analytics suite. However, it has less extensive features for managing the entire machine learning lifecycle and some users report limited customization options. It is also generally considered less expensive.
Better for building general business applications, not just AI/ML solutions. A good Domino alternative for organizations prioritizing application development speed and existing system integration. Caters to a wider range of company sizes and industries, including software and IT, but less suitable for e-commerce or professional services. Has more momentum. More established, with a larger user base and more reviews. However, users report a steeper learning curve and higher cost.
Better for users without coding experience and offers easier implementation. Rated higher by users and has broader industry applicability but more expensive and potentially difficult to navigate initially.
Better for text and code generation. Easier to use, with a simpler setup. A better Domino alternative for individual users and those seeking AI assistance for writing, coding, or brainstorming. Wider applicability across industries.
Better for broader data analysis needs beyond model building. More established, with potentially more resources and wider adoption. Caters to a wider range of business users, not just data scientists. More mature product with stronger reporting features. However, it has higher licensing costs and can be more complex to implement.
Focuses on governing and managing deployed AI models, rather than the entire model lifecycle. Better suited for post-deployment model monitoring and compliance. Has more momentum.
What is Domino Enterprise MLOps Platform and what does Domino Enterprise MLOps Platform do?
What is Domino Enterprise MLOps Platform and what does Domino Enterprise MLOps Platform do?
Domino Enterprise MLOps Platform is a centralized AI platform designed for large enterprises, especially in life sciences and finance. It streamlines the entire machine learning lifecycle, from building and deploying models to managing and monitoring them. Domino facilitates team collaboration, offers flexible deployment options, and integrates with various tools.
How does Domino Enterprise MLOps Platform integrate with other tools?
How does Domino Enterprise MLOps Platform integrate with other tools?
Domino Enterprise MLOps Platform integrates with various tools and platforms through its flexible architecture. It supports open-source tools, cloud platforms (AWS, Azure, GCP), and on-premises infrastructure, allowing for adaptable and scalable integrations. This avoids vendor lock-in and supports existing workflows.
What the main competitors of Domino Enterprise MLOps Platform?
What the main competitors of Domino Enterprise MLOps Platform?
Top alternatives to Domino Enterprise MLOps Platform include Qlik AutoML, Vertex AI, SAS Viya, and ModelOp. These platforms offer similar functionalities, such as AI model building, deployment, and management, catering to various business needs and technical expertise.
Is Domino Enterprise MLOps Platform legit?
Is Domino Enterprise MLOps Platform legit?
Yes, Domino Enterprise MLOps Platform is a legitimate and safe platform for managing machine learning operations. It's known for its centralized platform, collaboration features, and scalability. However, potential users should be aware of the high pricing and complex setup.
How much does Domino Enterprise MLOps Platform cost?
How much does Domino Enterprise MLOps Platform cost?
Domino does not publicly disclose pricing for its Enterprise MLOps Platform. Contact Domino directly for a customized quote based on your specific enterprise needs and product requirements.
Is Domino Enterprise MLOps Platform customer service good?
Is Domino Enterprise MLOps Platform customer service good?
Customer support receives mixed reviews for Domino Enterprise MLOps Platform. While some users praise the excellent support, others express a desire for improved documentation and more comprehensive onboarding assistance, especially for complex integrations.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.