

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.
I estimate I spend around thirty to forty percent less time organizing and comparing experiment results compared to manual tracking.
Comet's return on investment is evident through significant time reduction, which is the most crucial factor I have observed.
Comet's help center contributes significantly to building the AI-powered solution smoothly and rapidly.
I have reached out to the technical support of Comet via email only and it worked well.
I was able to troubleshoot all the issues with the online discussion forums.
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.
Comet's scalability is excellent, as it can generate customized user-to-user browsers.
Overall, I would say Comet scales very well for academic to mid-sized machine learning projects, and it remains usable.
Comet's scalability is limited for me since I usually do only one task, and when I overload Perplexity, I hit the limit very quickly.
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.
Many times we need to look out for different high parameterized fine-tuned models and we need to have high capabilities of browsing scenarios as well, and that is where it is lagging.
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.
It needs to be smarter, utilizing better AI engines to combine data from various sources, and improve the intelligence of its answers, creativity, and document creation capabilities.
Comet can be improved by being more stable and providing security features similar to Brave.
Comet needs smarter algorithms to understand user inquiries and provide better reasoning steps.
Recently, they revised it to a subscription-based, all-inclusive license.
The built-in APIs in Fortinet FortiSIEM are somewhat lacking and could be improved for better integration with external ITSM products.
Fortinet FortiSIEM should broaden its remediation part to include more features for incident management.
I found it easy to understand the pricing and subscription models for faster integration.
My experience with pricing, setup cost, and licensing is that I am using Perplexity, the pro version, which is connected to Comet, and together they provide me with very good results at a cost of only twenty dollars, which is acceptable to me.
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.
The feature that keeps tabs open is great because they are updated and still on the same page where I left off, which is super helpful, allowing me to quickly return to what I was working on.
It has transformed the workflow because fewer people are needed for some tasks, and the automation of tasks means that not much human effort is required.
This setup significantly reduces task efficiency in high latency scenarios, providing dynamic websites, faster responses, quicker solutions, and smoother searches compared to typical browsing methods.
It provides extensive logging and record-keeping for internal networks, cloud applications, and services as well as perimeter physical network security.
I find the real-time monitoring and correlation capabilities effective for security alerts.
| Product | Mindshare (%) |
|---|---|
| Comet | 0.8% |
| Fortinet FortiSIEM | 1.2% |
| Other | 98.0% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 22 |
| Large Enterprise | 24 |
Comet offers powerful capabilities for tracking, comparing, and optimizing machine learning models, making it a valuable tool for data-driven enterprises aiming to improve project outcomes.
Designed with efficiency in mind, Comet enhances experiment tracking and model management. It supports diverse machine learning workflows helping teams streamline model development and iteration. Integration with popular ML libraries provides seamless tracking and enhances model reproducibility. Valuable for projects requiring collaboration and transparency, Comet aids teams in maintaining consistency across ML pipelines.
What are Comet's key features?In industries like finance, healthcare, and manufacturing, Comet is implemented to enhance model accuracy and efficiency. By providing robust experiment tracking and collaboration capabilities, Comet allows teams to innovate and deliver results within demanding operational frameworks.
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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