We performed a comparison between Datadog and Wazuh based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities. Wazuh stands out for its effortless integration, excellent log monitoring capabilities, and ELK-based investigation. Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. Wazuh needs improvements in event source coverage, threat intelligence integration, and real-time monitoring of Unix systems.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support, especially in the Asia-Pacific region. Wazuh's customer service is generally deemed satisfactory, and many customers noted that they could easily find answers from community forums.
Ease of Deployment: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. Some users said that Wazuh’s setup is easy and fast, while others perceived it as complicated and said it required a significant amount of time.
Pricing: Opinions about Datadog's price are divided. Some users found it costly, but others thought it was acceptable. Some said the pricing model could be clearer and better explained. Wazuh is a cost-effective option as it is open-source and completely free to acquire.
ROI: Users said Datadog saved them time and improved visibility into security blind spots. Wazuh's MSP program and partnerships offer opportunities to generate revenue from the platform.
"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."
"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"Overall, the Data UI and the usability of customer features continue to improve."
"I find the greatest feature is being able to search across logs from various microservices."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"My company implemented Wazuh because it was relatively inexpensive. They could quickly get their hands on it to check a box for some audit and compliance."
"It's stable."
"The product’s interface is intuitive."
"I like that the solution is on top of the Kubernetes stack."
"It is a stable solution."
"I like the features we use, including malware detection, inventory, detection of hidden processes, and activity logs. Inventory is probably the most important feature. It tells us when processes and packages were installed and what they are, which is helpful."
"Wazuh offers numerous features, such as the ability to define custom rules for detecting malicious activities and remembering behaviors."
"It offers built-in modules for file integrity and vulnerability management."
"The product needs to have more enterprise approach to configuration."
"In the past two years, there have been a couple of outages."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"More granular control over dashboard sharing. Timeboard sharing."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"I think better access to their engineers when we have a problem could be better."
"The product needs a better Datadog agent installation."
"The deployment is a bit complex."
"The tool does not provide CTI to monitor darknet."
"There's not much I like about Wazuh. Other products I've used were a lot more functional and user friendly. They came with reports and use cases out of the box. We need to configure Wazuh's alerts and monitoring capabilities manually. It'd be nice if we could select from templates and presets for use cases already built and coded."
"A more structured approach, perhaps with modular UI components, to facilitate easier integration and navigation within the Wazuh platform for custom integrations would be beneficial."
"Its user interface for sure can be improved. It is not so comfortable to use if you're looking for specific logs."
"Wazuh needs more security and features, particularly visualization features and a health monitor."
"Integration with Vyara could be better."
"They could include flexibility and customization capabilities by modifying for customers based on partner agreements."
Datadog is ranked 3rd in Log Management with 137 reviews while Wazuh is ranked 2nd in Log Management with 38 reviews. Datadog is rated 8.6, while Wazuh is rated 7.4. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Wazuh writes "It integrates seamlessly with AWS cloud-native services". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Google Cloud's operations suite (formerly Stackdriver), whereas Wazuh is most compared with Elastic Security, Security Onion, AlienVault OSSIM, Splunk Enterprise Security and Elastic Stack. See our Datadog vs. Wazuh report.
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We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.