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.
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.
These incidents are related to log service, indexes, and metric capturing issues.
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.
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.
The AI aspect would be great where we would not need to go and look at different transactions or different modules of Datadog, as AI can actually provide the data to us on Datadog UI.
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 | 12.2% |
Datadog | 5.7% |
Other | 82.1% |
Company Size | Count |
---|---|
Small Business | 80 |
Midsize Enterprise | 46 |
Large Enterprise | 93 |
Company Size | Count |
---|---|
Small Business | 26 |
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 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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