

DataRobot and BMC Helix Operations Management with AIOps both operate in the realm of IT and AI technology solutions. BMC Helix seems to have the upper hand due to its advanced integration capabilities and comprehensive IT operations management features.
Features: DataRobot automates machine learning with ease of use, supports MLOps for better management and retraining of models, and offers a GUI-based approach for feature engineering. BMC Helix Operations Management provides agentless monitoring, AI-driven event management, and detailed asset relationship insights, enhancing IT visibility and proactive problem resolution.
Room for Improvement: DataRobot could improve flexibility in deployment, offer more robust IT operations insights, and simplify setup processes. BMC Helix can enhance its interface for better user experience, provide more detailed ROI metrics, and expand cloud integration options for greater flexibility.
Ease of Deployment and Customer Service: BMC Helix Operations Management delivers seamless integration with various IT ecosystems and comprehensive customer support. DataRobot, while requiring more initial deployment effort, offers exceptional customer service, aiding users through complex AI tasks.
Pricing and ROI: DataRobot requires a significant initial investment but offers a high ROI with advanced predictive analytics. BMC Helix Operations Management’s cost is offset by increased operational efficiency and reduced manual tasks, emphasizing long-term savings over initial expenses.
That gave us a very positive image as an agile vendor that came in and brought a highly valuable solution that drove cost reduction, that drove better return on investment, that drove more business confidence and highly automated spectrum and also it did improve overall cybersecurity aspects of the operations as well.
The return on investment with BMC Helix Operations Management with AIOps has been positive since I have saved money by resolving incidents or tickets before breaches.
We have seen a return on investment, managing to reduce actually half an FTE.
On average, we're saving about 10 to 15 hours per project.
They provided detailed explanations about the issues and how to handle them in the future.
When provided with accurate information, they quickly supply the necessary articles to resolve problems.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
BMC Helix Operations Management with AIOps is suitable for small, medium, and large environments.
I have scaled BMC Helix Operations Management with AIOps with data and users, not to a very high level but to a medium level, and I can see that the platform has performed well for my users.
The scalability of BMC Helix Operations Management with AIOps is very good, as the cloud-based solution gives you the flexibility to scale as your business grows.
From my perspective as a customer, especially from tool administration, what would be beneficial is having end-to-end visibility all on a single page.
Regarding the configuration and documentation of AIOps, it would be beneficial to have more available resources for users.
Documentation for a broader range of examples and use cases could help show what you can actually do with the power of the tool.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
There is a lack of transparency in the models; sometimes it feels like a black box.
The pricing is on the higher end due to the extensive features and delivery quality.
Broadly speaking, it's slightly on the expensive side, though it's very high value.
My experience with pricing, setup costs, and licensing for BMC Helix Operations Management with AIOps has been good as I receive all licenses with AIOps and do not have to ask separately for licensing.
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
BMC Helix Operations Management with AIOps has positively impacted my organization by reducing our emergency changes and flipping our problem records from reactive to proactive, so we're getting to things faster before they impact users.
Proactive monitoring is a key feature where AI and machine learning, based on past behavior, predict and provide information on potential situations that could develop.
BMC Helix Operations Management with AIOps has positively impacted our organization mainly through the dashboards configured based on our requirements, the user-friendliness of the Smart IT console, and other risk management configurations.
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
| Product | Market Share (%) |
|---|---|
| BMC Helix Operations Management with AIOps | 3.4% |
| DataRobot | 1.0% |
| Other | 95.6% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
BMC Helix Operations Management with AIOps enhances monitoring by leveraging AI for proactive insights, issue prediction, and SLA maintenance. Its agentless design offers comprehensive asset visibility and seamless tool integration for rapid issue resolution.
BMC Helix Operations Management with AIOps stands out by automating alerting and actions through AIOps capabilities, which hone infrastructure learning and identify vulnerabilities, providing crucial insights on server stability and potential incidents. It is primarily utilized for event collection and correlation to determine root causes, reducing the need for manual problem-solving and ensuring faster remediation. Companies like Yamaha in Brazil implement it for IT service management and application monitoring.
What are the key features of BMC Helix Operations Management with AIOps?
Which benefits or ROI should be considered when evaluating BMC Helix Operations Management with AIOps?
In industries such as ITSM and application monitoring, BMC Helix Operations Management with AIOps is implemented for event collection, root cause identification, and escalation to management during critical issues. It suits organizations looking to enhance monitoring capabilities without extensive manual intervention.
DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.
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