

Find out in this report how the two AI Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
The DataRobot team was very helpful in answering the questions which the customer had.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Local tech support is available, however, for more critical or technical issues, we depend on the OEM directly, especially when it comes to on-prem solutions.
There is a knowledgeable, though small, team of support engineers around the world.
They take some time to respond because they need logs and investigations, which delays the response time.
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
At any point in time, when network devices increase or there is a change in the infrastructure, we can add more workers and collectors to expand our infrastructure setup.
Fortinet FortiSIEM is highly scalable.
Fortinet FortiSIEM is easy to scale.
It stabilizes itself in an appropriate time, so its uptime is good.
These issues may cause unusual errors and user interface issues.
Some stability issues occur, but Fortinet's technical support team provides assistance.
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 the completeness of its APIs could aid in better external integrations.
Fortinet FortiSIEM should broaden its remediation part to include more features for incident management.
Recently, they revised it to a subscription-based, all-inclusive license.
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.
Setting it up for oneself as an enterprise-licensed product can be quite expensive.
Windows agent licenses cost around 3,000 Rupees per device per year.
The revised model is subscription-based and more flexible.
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.
I find the real-time monitoring and correlation capabilities effective for security alerts.
It provides extensive logging and record-keeping for internal networks, cloud applications, and services as well as perimeter physical network security.
| Product | Mindshare (%) |
|---|---|
| Fortinet FortiSIEM | 1.5% |
| DataRobot | 0.7% |
| Other | 97.8% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 22 |
| Large Enterprise | 24 |
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.
Fortinet FortiSIEM offers robust features like automation, real-time monitoring, and scalable log correlation. It integrates SOC and NOC, enhancing security by seamlessly managing data. A preferred choice for threat management, its comprehensive reports and competitive pricing add value.
Fortinet FortiSIEM serves as a comprehensive platform for security monitoring, threat detection, and incident management. It streamlines operations by integrating seamlessly with Fortinet and third-party tools, offering dynamic service discovery and user-friendly analytics. Leveraging its stable infrastructure, organizations conduct log analysis and behavioral monitoring across networks and applications. It supports compliance reporting and enhances security environments through integration with firewalls and security devices. Its cloud and on-premise options cater to regulatory and operational needs, while multitenant capabilities enable managed security service providers to extend robust security services. Users have highlighted areas for improvement in API integration, data retrieval speed, resource consumption, automation, and reporting flexibility.
What are the key features of Fortinet FortiSIEM?In healthcare, Fortinet FortiSIEM ensures compliance and secure health data management. Financial institutions utilize it for real-time monitoring and fraud detection, while educational sectors deploy for network security and data integrity. Service providers leverage its multitenant features for expansive client management.
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