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.
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"It is easy to navigate the menu and create tests."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"The installation step is pretty straightforward."
"I don't have to worry about upgrades with the AWS version."
"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"Splunk gives my clients the ability to bring multiple, disparate types of data together, then correlate and report on them."
"One of the most valuable features is threat hunting. We can do threat hunting and identify if there is any malicious activity happening within our environment, which is a key feature for us."
"Splunk has machine learning which is a valuable feature."
"Integrity with many vendors: This simplifies the implementation and integration with different devices"
"In the past we used the different application to collect logs. We used SurfWatch and VMware to do so. But, we found that the Splunk has more capacity to do more in less time. They provide a aster speed to index all the events , and this is a huge asset."
"Capability to expand the functionality through custom code for data inputs, commands, visualization, alerts, and machine learning."
"The indexing and data collection are valuable."
"Splunk is stable, and this is why many customers want it."
"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."
"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"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."
"The solution needs to integrate AI tools."
"Additional metrics should be included."
"As a new customer, the Datadog user interface is a bit daunting."
"The sheer amount of products that are included can be overwhelming."
"On-premises scaling of the solution is a bit more limited than it is on the cloud."
"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."
"From the commercial point of view, they have to bring down their costs."
"The threat detection library needs to increase the frequency at which the playbooks are updated."
"If it could be made available as a service, this would be much better than as a product."
"The biggest problem is data compression. Splunk is an outstanding product, but it is a resource hog. There should be better data compression for being able to maintain our data repositories. We end up having to buy lots of additional storage just to house our Splunk data. This is my only complaint about it."
"It needs more thoroughly tested releases. Every new big version (6, 7, etc.) has had so many bugs that it makes me wary of customers upgrading right away."
"Splunk could have more built-in use case presets that customers can build on and customize."
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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