Datadog and Wazuh compete in the monitoring and security software category. Datadog appears to have the upper hand due to its comprehensive integration capabilities and robust feature set.
Features: Datadog offers application performance monitoring (APM), extensive log management, and over ten integrations. Its flexible monitoring capabilities, metrics graphing, and unified tagging system for streamlined debugging are crucial. Wazuh is strong in security logging and compliance, offering intrusion detection, vulnerability management, and integrates well with cloud-native services.
Room for Improvement: Datadog could enhance customizability and pricing transparency. Its advanced features demand a steep learning curve. Wazuh should improve threat intelligence, real-time Unix monitoring, and scalability. Enhancements in support and integration could boost usability.
Ease of Deployment and Customer Service: Datadog stands out with cloud-based deployment options across various clouds but faces complexity in pricing and support. Wazuh offers flexible on-premises deployment suited for versatile environments but lacks ease of use and support structure that Datadog provides.
Pricing and ROI: Datadog is seen as expensive, with costs tied to data usage, yet offers high ROI by saving developer hours. Wazuh being open-source is free, largely incurring costs for support, providing high ROI with essential security features without sizeable financial investment.
I have seen value in security cost savings with Wazuh, as using proprietary EDR versions could save us substantial money.
They responded quickly, which was crucial as I was on a time constraint.
There is no dedicated technical support for Wazuh as it is open source.
The documentation is good and provides clear instructions, though it's targeted at those with technical backgrounds.
It can accommodate thousands of endpoints on one instance, and multiple instances can run for different clients.
Currently, I don't see any limitations in terms of scalability as Wazuh can still connect many endpoints.
Scalability depends on the configuration and the infrastructure resources like compute and memory we allocate.
The stability of Wazuh is largely dependent on maintenance.
The indexer frequently times out, requiring system restarts.
The stability of Wazuh is strong, with no issues stemming from the solution itself.
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.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
I think Wazuh should improve by introducing AI functionalities, as it would be beneficial to see AI incorporated in the threat hunting and detection functionalities.
Wazuh could improve by creating videos on YouTube covering installation, use cases, and integration of third-party APIs for different scenarios that other SAAS services provide.
The integration modules are insufficiently developed, necessitating the creation of custom integration solutions using tools like Logstash and PubSub.
The setup cost for Datadog is more than $100.
Wazuh is completely free of charge.
Wazuh is free to use, but there are licensing fees for third parties.
Totaling around two lakh Indian rupees per month.
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.
The fact that it is open source means it is always being expanded, which is beneficial for customizing solutions for individual client requests.
With this open source tool, organizations can establish their own customized setup.
The system allows us to monitor endpoints effectively and collect security data that can be utilized across other platforms such as SOAR.
Product | Market Share (%) |
---|---|
Wazuh | 13.2% |
Datadog | 6.0% |
Other | 80.8% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 25 |
Midsize Enterprise | 15 |
Large Enterprise | 8 |
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
Wazuh offers comprehensive security features like MITRE ATT&CK correlation, log monitoring, and cloud-native infrastructure. It ensures compliance and provides intrusion detection with high scalability and open-source flexibility, ideal for businesses seeking robust SIEM capabilities.
Wazuh stands out in security information and event management by providing efficient log aggregation, vulnerability scanning, and event correlation against MITRE ATT&CK. Its capability to integrate seamlessly with environments, manage compliance, and monitor files makes it suitable for cloud-native infrastructures and financial sectors. Despite its technical support needing enhancement and opportunities for improving AI integration and threat intelligence, its open-source nature and cost-effectiveness make it appealing. Users can leverage custom dashboards powered by Elasticsearch for precise data analysis, even though there is a desire for a more user-friendly interface and better enterprise solution integration. Deployment may be complex, but its features contribute significantly to fortified security postures.
What are the essential features of Wazuh?Industries like finance and cloud infrastructure heavily utilize Wazuh for its security strengths. By monitoring endpoints and ensuring compliance with frameworks, companies can improve security posture and swiftly detect anomalies. The platform's focus on event correlation and alerts for security incidents is particularly beneficial.
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