Datadog and Darktrace offer different solutions in the IT landscape, with Datadog focusing on infrastructure observability and Darktrace on security intelligence. Datadog appears to have an edge in user-friendliness and integration versatility, while Darktrace stands out in advanced AI-driven threat detection.
Features: Datadog provides advanced dashboards, metrics collection, and frequent integrations with platforms like AWS and Docker. Known for its intuitive design, it allows users to create visualizations that simplify data insights. Darktrace features AI-driven threat detection and autonomous responses, providing real-time monitoring and anomaly identification for comprehensive cybersecurity.
Room for Improvement: Datadog users desire better query performance, seamless integrations, and clearer pricing. Notification customization and real-time usage metrics need enhancement. Darktrace could improve endpoint protection, dashboard management, and reduce false positives, with additional third-party tool integrations.
Ease of Deployment and Customer Service: Datadog offers diverse deployment options across cloud environments, supported by generally responsive customer service. Darktrace mainly supports on-premises and hybrid cloud setups, with proactive customer service, although technical support may not be as thorough as that of Datadog.
Pricing and ROI: Datadog uses a usage-based pricing model, which may lead to variable costs but provides value with its feature set. Darktrace's higher, less flexible pricing could deter smaller organizations, despite delivering ROI via enhanced security and risk management. Both solutions are valued for their returns, with Datadog highlighting operational efficiencies and Darktrace emphasizing security improvements.
Other NDR solutions provide virtual appliances that can be deployed on virtualization servers to get up and running quickly.
Using this solution provides financial benefits by securing from server attacks, which offers indirect savings.
The technical support from Darktrace is of high quality.
Darktrace provides excellent technical support with a monthly meeting to review platform incidents, ensuring the system functions as expected.
The challenge lies in waiting for a response after logging a ticket.
Darktrace has high scalability, and I would rate it a nine out of ten.
Since it's cloud-based, it expands easily.
There is still a gap in terms of storage, and we are trying to figure out how to increase that capacity for regulated environments, which require data retention for 5 to 6 years.
The stability of Darktrace is excellent, rated ten out of ten.
The appliance itself has never let me down.
For stability, I would rate Darktrace an eight out of ten.
There is no dedicated salesperson in Egypt, and having one would help to improve focus on this market.
They say they can integrate with most firewalls, but when we did an integration with Meraki MX firewalls, that integration didn't work and still doesn't work to this day.
We need Darktrace on each branch to get the data out, and I suggest having some kind of a centralized product that gets data from multiple sources to aggregate and provide the data.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
There should be a clearer view of the expenses.
The product is considered expensive compared to others.
The pricing is costly in USD, and they charge based on device counts.
The licensing cost is approximately eight dollars a year.
The setup cost for Datadog is more than $100.
It is capable of responding to lateral movement and ransomware deployment within environments where there is data exfiltration.
I do not need to manually process incidents as Darktrace provides an incident summary, potential detection paths, and other details, all exportable with just a click.
If I am in a data center where I don't have layer two, it becomes an issue because the autonomous response is reliant on sending spoofed TCP resets to my core switch to block traffic, which is a major issue.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
Product | Market Share (%) |
---|---|
Datadog | 1.9% |
Darktrace | 1.8% |
Other | 96.3% |
Company Size | Count |
---|---|
Small Business | 44 |
Midsize Enterprise | 19 |
Large Enterprise | 29 |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Darktrace is a leading cybersecurity solution that leverages artificial intelligence and machine learning to provide advanced threat detection, response, and risk management capabilities. Many reviewers find Darktrace's AI and machine-learning capabilities to be valuable. They appreciate its ability to detect anomalies and threats that might go unnoticed by traditional security tools. Overall, the general sentiment towards Darktrace from reviewers is positive. Users seem to appreciate its scalability, stability, AI capabilities, visibility, and ease of use.
Darktrace offers a proactive and intelligent approach to cybersecurity. It utilizes AI algorithms to learn and understand the 'pattern of life' for every user and device within a network. This understanding enables it to detect anomalies that could signify a cyber threat, from subtle insider threats to more obvious ransomware attacks.
Its adaptability, autonomous response features, and comprehensive network visibility make it a top-tier solution for different sizes of organizations and across many industries. It was named one of TIME magazine’s ‘Most Influential Companies’ in 2021 and protects over 8,800 organizations globally from advanced cyber threats.
Darktrace Cyber AI Loop
The Darktrace Cyber AI Loop introduces an advanced artificial intelligence-based system for cybersecurity, designed to build a self-improving defense mechanism. This system functions like a closed loop, where each stage feeds information and insights into the next, amplifying the overall effectiveness of the platform.
The key components of the loop are:
Darktrace's AI algorithms can identify threats that traditional security tools might miss. It continuously learns and updates its understanding of what is normal for each environment, ensuring that it can quickly detect and respond to unusual activities that could indicate a breach. Darktrace's Antigena module can autonomously respond to threats in real time. This is particularly crucial in containing fast-moving threats like ransomware, where every second counts.
Darktrace's solution provides unparalleled visibility into all parts of the network, including cloud services, IoT devices, and industrial control systems. This comprehensive coverage ensures that no part of the network is left unprotected. However, while the Darktrace Cyber AI Loop offers a robust solution, it is not a complete cure-all and requires careful implementation and integration with existing security frameworks.Darktrace offers a comprehensive and unified approach to cybersecurity. It provides continuous protection against known and unknown threats, regardless of where they emerge. Darktrace's solutions provide visibility into your cloud infrastructure, continuous monitoring of application usage and communication patterns (e.g., identification of suspicious actions like unauthorized data access), comprehensive email security that goes beyond traditional spam and phishing filters, real-time protection for endpoints, and continuous monitoring of network traffic and device activity.
Darktrace also provides specialized coverage to secure your zero-trust architecture. Identifies compromised identities, unauthorized access attempts, and risky data exfiltration within a least-privilege environment. Finally, it has a dedicated solution for safeguarding industrial control systems and critical infrastructure. Monitors communication patterns, device behavior, and physical access within OT environments, protecting against operational disruptions and cyberattacks.
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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