We performed a comparison between Datadog and LogRhythm SIEM 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. Users praised LogRhythm SIEM for its user-friendly centralized dashboard, strong integration, and event-filtering capabilities. Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. LogRhythm SIEM has the potential to improve its SOAR and NDR features, platform stability, and MDI integration. LogRhythm users requested expanded log storage, better load balancing, and streamlined search capabilities.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support, especially in the Asia-Pacific region. LogRhythm SIEM was generally praised for its helpful and knowledgeable support, although there have been occasional delays and knowledge problems.
Ease of Deployment: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. LogRhythm SIEM's setup is considered to be straightforward. However, it is more time-consuming and complex for enterprise deployments involving multiple components or vendors, and users often require assistance from professional services or LogRhythm-certified engineers.
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. LogRhythm SIEM’s license typically includes all elements. However, enterprise customers may encounter complexities related to additional features and add-ons.
ROI: Users said Datadog saved them time and improved visibility into security blind spots. LogRhythm SIEM has proven to be highly valuable, delivering a significant ROI by reducing the mean time to detect and respond.
"We enjoy the multistep API tests."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"The performance of Datadog is good."
"It has saved us a lot of trouble in implementation."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"The ability to drill down and pivot from an event is one of the biggest advantage the product has compared to other things that I have seen in the market."
"The product is great for medium to large-scale organizations."
"The content in the community is very helpful and useful for new users."
"The major feature of this solution is its easy configuration which helps different team members to work on it effectively. This kind of feature is not available in other solutions because of a request for specialised schemes for configuration report extraction and searching. Another feature that I really admire is the significant improvement in the compliance in the auditing process by the solution. Our organisation-specific complaints require where the mailbox data needs to be forwarded, stored and searchable for a certain time period. This solution categorises data based on different types, which include cold, warm and hot data. These features allow faster and easier extraction of any data even if the event was occurring several years ago. I also like other features, especially user behaviour analysis and automation. If suddenly someone accesses your side or an unusual traffic is recorded from a user the solution flags it very effectively."
"Even other products we have that feed into it, instead of having to watch all of them we only have to watch one. For example, we have CrowdStrike, so instead of having to pay attention that solution - because their dashboard doesn't really pop when an alarm comes up - we can see issues with the red on the LogRhythm alarm. That is very nice."
"The ability for me to go into the Web UI, and just learn what's going on in my environment."
"The log analysis feature is valuable."
"I have found the Advanced Intelligence Engine has provided the most value to us because we can customize alarms based on our requirements and have created hundreds of alarms that notify different people for different scenarios."
"They should continue expanding and integrating with more third-party apps."
"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"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."
"Some of the interface is still confusing to use."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"It lacks consistency in the APIs."
"LogRhythm NextGen SIEM is currently based only on the Windows platform. This means that some of our customers have to purchase a Windows license elsewhere. If LogRhythm can move to a Linux platform or a proprietary platform, it would be very helpful."
"The security playbook could be pre-defined and available to other analysts with similar security issues."
"My biggest complaint is documentation. Everyone tells me, "We have documentation on the Community site." I have searched for different types of documentation on numerous occasions, and it might be there, but it's not easily findable."
"The product's stability needs improvement."
"LogRhythm's SOAR and NDR features don't stack up well against competitors. maybe integrating theme functionality as the other do. But in general, it's okay."
"The console installation is an area with a shortcoming in the solution that needs improvement. If LogRhythm SIEM can offer a web console, it would be great."
"I don't think the cloud model in LogRhythm is developed enough."
"LogRhythm NextGen SIEM could improve by adding more applications for the banking sector. There are not any custom applications at this time."
Datadog is ranked 3rd in Log Management with 137 reviews while LogRhythm SIEM is ranked 7th in Log Management with 166 reviews. Datadog is rated 8.6, while LogRhythm SIEM is rated 8.4. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of LogRhythm SIEM writes "The solution reduced our investigation time from days to hours and assists in managing our workflows". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas LogRhythm SIEM is most compared with IBM Security QRadar, Splunk Enterprise Security, Microsoft Sentinel, Wazuh and LogRhythm Axon. See our Datadog vs. LogRhythm SIEM report.
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