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.
"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 integration into AWS is key as well as our software is currently bound to AWS."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"Datadog helps us detect issues early on and helps in troubleshooting."
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The solution is useful for monitoring logs."
"We can quickly search for almost anything across many log sources in seconds."
"The correlation searches are most valuable just because we are able to do things like RBA."
"It has virtual visualization, and other products do not."
"The initial setup is really straightforward. It's one of the easiest installations."
"The solution's most valuable feature is that it helps with our use cases to detect anomalies in our data and it is important to my company since we have a lot of data on different logs on the systems."
"The most valuable feature of Splunk Enterprise Security is website activity monitoring."
"It's basically one of the best SIEM products on the market."
"We can automatically suspend or terminate suspicious sessions."
"I would like testing for data in the future."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"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."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"We need more advanced querying against logs."
"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."
"We want to reduce having to go to different screens to obtain all the information."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"Queries are not always as easy or straightforward as they might be, so it can be difficult to figure out what you need to look for."
"It currently has limited default rules and customizations. If they can concentrate more on the compliance part and the security information part, it would be helpful. The platform part is good, but it requires many features from the security aspect."
"Search head clustering is often temperamental in its current state and should be improved, replaced by something better, or be reverted to search head pooling."
"The level of scalability depends on the license you have. You can expand or reduce it based on the environment. It does cost more money to scale, however."
"The solution could improve by increasing the performance. We have run into problems when large amounts of data are processed."
"I find the graphical options really limited and you don't have enough control over how to display the data that you want to see."
"Sometimes the communication with support happens with multiple staff. They should reduce the time to resolution."
"I would like to get visibility into the data pipelines on heavy forwarders and indexers to see exactly their source and the cause of saturation when it occurs. This would help us learn even more about our high use applications."
Datadog is ranked 3rd in Log Management with 137 reviews while Splunk Enterprise Security is ranked 1st in Log Management with 240 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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