

DataRobot and ServiceNow IT Operations Management (ITOM) are two competing products in the tech industry. ServiceNow ITOM seems superior due to its features, though users prefer DataRobot for pricing and support.
Features: DataRobot reviews indicate valuable features such as automated machine learning capabilities, integration with existing workflows, and strong predictive analytics. ServiceNow ITOM reviews highlight features like comprehensive IT service management, robust analytics tools, and advanced operational insights. ServiceNow ITOM has a broader range of features tailored to IT operations.
Room for Improvement: DataRobot users point out areas needing enhancement, such as more customization options, improved scalability, and better model documentation. ServiceNow ITOM's reviews suggest improvements in training resources, user documentation, and user interface design. DataRobot needs to focus on scalability, user experience, and reporting features, while ServiceNow ITOM could benefit from better user support materials, reducing complexity, and enhancing flexibility.
Ease of Deployment and Customer Service: DataRobot has been noted for its quick deployment and responsive customer service. ServiceNow ITOM users praise its comprehensive support but mention a steeper learning curve during deployment. DataRobot is easier to deploy, though both offer strong customer service.
Pricing and ROI: DataRobot is reported to have a straightforward setup cost with a good ROI. ServiceNow ITOM reviews indicate higher setup costs, but users find the investment worthwhile. ServiceNow ITOM's higher costs are justified by the extensive benefits it provides.
Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.
On average, we're saving about 10 to 15 hours per project.
It reduced staffing needs from four full-time staff to fewer due to automation.
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.
The DataRobot team was very helpful in answering the questions which the customer had.
They respond promptly when we call to open a ticket.
For minor issues, the team takes a month's time to provide a fix.
The response time of technical support could be improved.
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
ServiceNow ITOM scales very well to small and medium businesses.
It integrates with every single tool, even external tools.
Since it is a Platform as a Service (PaaS) or Software as a Service (SaaS) solution, I consider the stability to be very high, rating it ten out of ten.
It helps us create custom dashboards and provides excellent search functionality where we can search for any issues or errors that have occurred and take corrective action before it impacts the users.
All while benefiting from a single tool, single maintenance, and reduced license costs.
If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.
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.
Enhancing analytics is crucial, as we have seven years of data providing a substantial history of past ITSM and non-ITSM business tickets that can help predict and reduce the volume of calls.
A more streamlined configuration process tailored to use cases and industry would be beneficial.
It provides many out-of-the-box functionalities along with customization options.
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.
The pricing model offers scaling where not everything consumes a license equally, providing more value across different business areas.
ServiceNow's pricing is expensive.
It is definitely high-priced compared to other products available in the same domain in the market.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
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.
DataRobot's one of the major features is model evaluation and model performance.
The performance analytics of ServiceNow was especially beneficial for setting thresholds, aggregating, and correlating infrastructure data.
ServiceNow IT Operations Management influences ITSM processes by automating them and aiding in detecting and resolving IT issues to improve performance, reliability, and uptime.
They provide seamless integration of ITOM with their other modules such as ITSM, where we can leverage the AIs for discovery, perform impact analysis, which essentially helps to enhance the overall IT operations and reduce the downtime and MTTR.
| Product | Mindshare (%) |
|---|---|
| ServiceNow IT Operations Management | 5.5% |
| DataRobot | 1.6% |
| Other | 92.9% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 6 |
| Large Enterprise | 29 |
DataRobot automates model building and deployment, simplifying MLOps with user-friendly interfaces. Its AutoML and feature engineering streamline model comparison, selection, and testing, enhancing efficiency and scalability.
DataRobot facilitates efficient integration with cloud systems and data sources, reducing manual workload, enhancing productivity, and empowering data-driven decision-making. Its strengths lie in automating complex modeling tasks and supporting multiple predictive models effectively. Users emphasize the need for better handling of large datasets, integration with orchestration tools, and more flexibility for custom code integration and advanced model tuning. They also seek improved support response times, transparent model processing, real-world documentation, and enhanced capabilities in generative AI and accuracy metrics.
What are the key features of DataRobot?DataRobot is adopted across industries like healthcare and education for creating and monitoring machine learning models. It accelerates development with GUI capabilities, aids data cleaning, and optimizes feature engineering and deployment. Organizations can predict behaviors, automate tasks, manage production models, and integrate into data science processes to improve data processing and maximize efficiency.
ServiceNow IT Operations Management offers a scalable platform for managing IT infrastructure with features like discovery, dashboards, and service mapping. Ideal for incident, change, and problem management, it enhances operational efficiency and reduces IT service downtime.
ServiceNow IT Operations Management provides comprehensive solutions for consolidating events, automating workflows, and monitoring IT systems. Users utilize it for managing ticketing systems and conducting impact analysis through service mapping. The platform supports integrations with other modules, boosting efficiency with its intuitive interface. While highly functional, improvements in interface design and pricing are necessary, especially in integration with non-IP devices and cloud providers. Enhanced AI, machine learning, and discovery and monitoring functions are also needed.
What are the most important features?IT Operations Management by ServiceNow is widely implemented across industries like finance, healthcare, and manufacturing to optimize IT processes, enhance monitoring, and streamline infrastructure management. It is particularly effective in automating workflows and improving service reliability.
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