We compared Datadog and Splunk Enterprise Security based on our users reviews in five parameters. After reading the collected data, you can find our conclusion below:
Users have mixed opinions about the setup cost for Datadog, with some finding it expensive and others considering it reasonable. They recommend trying out the free plan before committing to a paid subscription. Similarly, some users find Splunk Enterprise Security to be expensive, particularly when handling large amounts of data. Splunk's pricing model, which is based on data processing capacity, can also be constraining. Therefore, when evaluating both products, it is important to take cost into consideration.
Users found Datadog to be beneficial in terms of time-saving, eliminating blindspots, and promptly identifying incidents. On the other hand, Splunk Enterprise Security's return on investment may be challenging to quantify, but it has proven to be crucial in addressing unforeseen issues and improving overall security.
The customer service for Datadog has been positively received, with users appreciating the helpfulness and responsiveness of the support team. They value the availability of 24/7 support. However, there have been occasional instances of slow or unresponsive support, especially in the Asia-Pacific region.
In contrast, the customer service for Splunk Enterprise Security has received both positive and negative feedback. Some users find the support team to be good and helpful. However, others express dissatisfaction with response times and believe that the support team lacks knowledge and care. Overall, there are areas that need improvement for both products in terms of customer service.
Comparison Results
In comparing Datadog to Splunk Enterprise Security, Datadog is praised for its user-friendly features, flexibility, and strong performance. It offers ease of use, effective dashboards and reporting capabilities, and centralized error reporting and log management. It also provides a wide range of integrations and is highly valued by development teams. However, there are areas where Datadog can improve, including usability, setup complexity, security features, and pricing clarity. On the other hand, Splunk Enterprise Security is appreciated for its easy deployment and learning, efficient log aggregation, data analytics, and user-friendly interface. Suggestions for improvement include enhancing user-friendliness, performance, pricing flexibility, and support responsiveness.
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"The most valuable aspect of the solution is the APM."
"We have way more observability than what we had before - on the application and the overall system."
"The search function for spam is like a google search. You just enter and it will quickly show you the results."
"I haven't had the chance to properly sink my teeth into Enterprise Security but so far I like that they added the MITRE ATT&CK features."
"Splunk's schema on demand is incredibly useful. I do not have to worry about what my users will need when we onboard their data."
"It has a big user base, so the community is useful."
"You can run reports against multiple devices at the same time. You are able to troubleshoot a single application on a thousand servers. You can do this with a single query, since it is very easy to do."
"The solution allows easy gathering and ingestion of the data."
"The solution has proven to be quite stable."
"The feature that we use the most is the correlation search engine within ES."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"I'd like to see better pricing and more integration in the next release."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"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 documentation leaves a lot to be desired for new users."
"The setup time is quite long."
"While Splunk Enterprise Security offers valuable features, its cost is high and could be more competitive."
"Better directions on search head clusters."
"Features related to content management must be improved."
"I love the solution, but I would like to see more accessibility to the machine-learning capabilities that are sprinkled around Splunk."
"Some of the queries are difficult to run and have room for improvement."
"Some of the terminology can be confusing, even for seasoned vets. Renaming components at this point would be a serious undertaking. However, it might be beneficial in the long run."
"I find that the learning curve for Splunk is relatively lengthy."
Datadog is ranked 3rd in Log Management with 137 reviews while Splunk Enterprise Security is ranked 1st in Log Management with 228 reviews. Datadog is rated 8.6, while Splunk Enterprise Security 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 Splunk Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Sentry, whereas Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Elastic Security and Azure Monitor. See our Datadog vs. Splunk Enterprise Security report.
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