

Datadog and Wazuh are actively competing in the real-time monitoring and security management sector. Datadog seems to have an edge due to its extensive integration capabilities and user-friendly automation templates.
Features: Datadog offers seamless integration, sharable dashboards, and intuitive tagging for streamlined monitoring. Wazuh excels in endpoint security, open-source support across Windows, Linux, and Unix, and integration with threat intelligence platforms.
Room for Improvement: Datadog could enhance cost predictability, UI simplicity, and AI feature consistency. Wazuh may need better real-time monitoring for Unix, streamlined threat intelligence integration, and reduced manual configuration demands.
Ease of Deployment and Customer Service: Datadog is adaptable across different cloud types with proactive customer support, albeit with some complexity due to feature abundance. Wazuh, more suited for on-premises, offers good support but may need third-party help for comprehensive deployment.
Pricing and ROI: Datadog's premium pricing reflects advanced features but faces challenges with cost predictability, offering high ROI in time savings. Wazuh provides a cost-effective, open-source model without licensing fees, ideal for budget-conscious organizations, though ROI may be seen more in reduced support costs.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
I have seen value in security cost savings with Wazuh, as using proprietary EDR versions could save us substantial money.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
They responded quickly, which was crucial as I was on a time constraint.
We use the open-source version of Wazuh, which does not provide paid support.
The documentation is good and provides clear instructions, though it's targeted at those with technical backgrounds.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
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.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
The stability of Wazuh is strong, with no issues stemming from the solution itself.
The stability of Wazuh is largely dependent on maintenance.
The indexer frequently times out, requiring system restarts.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
Machine learning is needed along with understanding user behavior and behavioral patterns.
The integration modules are insufficiently developed, necessitating the creation of custom integration solutions using tools like Logstash and PubSub.
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.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
Wazuh is completely free of charge.
I would definitely recommend Wazuh, especially considering Fortinet's licensing model which is confusing and overpriced in my opinion.
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.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Wazuh is a SIEM tool that is highly customizable and versatile.
The system allows us to monitor endpoints effectively and collect security data that can be utilized across other platforms such as SOAR.
With this open source tool, organizations can establish their own customized setup.
| Product | Market Share (%) |
|---|---|
| Wazuh | 9.4% |
| Datadog | 4.7% |
| Other | 85.9% |

| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 15 |
| Large Enterprise | 8 |
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.
Wazuh offers an open-source platform designed for seamless integration into diverse environments, making it ideal for enhancing security infrastructure. Its features include log monitoring, compliance support, and real-time threat detection, providing effective cybersecurity management.
Wazuh stands out for its ability to integrate easily with Kubernetes, cloud-native infrastructures, and various SIEM platforms like ELK. It features robust MITRE ATT&CK correlation, comprehensive log monitoring capabilities, and detailed reporting dashboards. Users benefit from its file integrity monitoring and endpoint detection and response (EDR) capabilities, which streamline compliance and vulnerability assessments. While appreciated for its customization and easy deployment, room for improvement exists in scalability, particularly in the free version, and in areas such as threat intelligence integration, cloud integration, and container security. The platform is acknowledged for its strong documentation and technical support.
What are the key features of Wazuh?In industries like finance, healthcare, and technology, Wazuh is utilized for its capabilities in log aggregation, threat detection, and vulnerability management. Companies often implement its features to ensure compliance with stringent regulations and to enhance security practices across cloud environments. By leveraging its integration capabilities, organizations can achieve unified security management, ensuring comprehensive protection of their digital assets.
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