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.
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"The dashboards and the performance of the software have been great."
"Datadog dashboards are pretty great."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"Capability to expand the functionality through custom code for data inputs, commands, visualization, alerts, and machine learning."
"We did not encounter any issues with scalability. It is almost seamless to add new index (storage) or search (used to analyze the data) nodes to the cluster."
"Splunk gives my clients the ability to bring multiple, disparate types of data together, then correlate and report on them."
"The solution is very fast and succinct."
"I like Splunk's data aggregation and search capabilities."
"The breadth of the data sources that Splunk can ingest data from is broad and deep and it does an exemplary job at handling structured data."
"Visualizations helped the organisation with a better understanding of its KPIs."
"We have a one stop dashboard for health of some of our services where you can click in and it takes you to other dashboards that have custom near real-time metrics that show the application's health."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"Datadog could be improved if it could detect other software in a container or server."
"We would like to see smaller or shorter tutorials and video sessions."
"Geo-data is also something very critical that we hope to see in the future."
"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."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"We need more integration with security tools like Drata."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"While there aren't any major areas where the solution has to be improved, there are certain integrations that are still not available. I would specifically like to see legacy applications integrated."
"The initial setup is complex, but this is necessary. We needed to take into consideration how to direct log files from thousands of machines to Splunk, and how to ingest those files."
"The threat management part is still lagging. There are some gaps in threat management. Other vendors have built-in threat management systems, but Splunk lacks the threat management component in its portal. The UEBA and everything else is perfect, but it lacks a unified threat intelligence and management part."
"We are waiting for Dashboard Studio to mature a little bit more. There are some things that we are using with Classic Dashboards which have not yet made it to Dashboard Studio. We are waiting for that."
"The glass table feature does not perform as expected."
"It can be tough to determine if you are getting all of the value out of your investment at times."
"The solution has a high learning curve for users. It's a little complicated when you're trying to figure out all the features and what they do."
"The product must improve insider threat detection."
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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