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.
"It is easy to navigate the menu and create tests."
"The most valuable aspect of the solution is the APM."
"Datadog has so far been a breeze to use and set up."
"The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."
"The most valuable feature of Datadog is its logs."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"Dashboards and their versatility are among the most valuable features."
"The visibility is amazing with easy dashboard creation."
"With good domain knowledge, one can build almost anything. If you throw in Alert Manager or an integration with ServiceNow. Then, you have your own SIEM"
"The ability to quickly search logs, performance data, and other inputs has helped tremendously with troubleshooting."
"It is very simple to tweak or write a small piece of glue code to go ahead and create a new dashboard for a business unit to make near real-time decisions to focus more on other geographies when launching the product."
"Splunk has give us the capability to easily track problems and their status."
"The product is adept at log mining."
"We were able to create a catalog of dashboards and have a holistic view at all levels. We could understand our business much better. Real-time errors, which were buried in emails before now, surfaced up on dashboards."
"Splunk's interface is user-friendly, and it has apps and add-ons for most applications. We can easily normalize the data to make it readable and understand the logs. We easily get all the field extractions and enrichment done by using the apps and add-ons. This helps us understand the application logs because the raw data is useless unless we extract some useful information from it. These add-ons make it so much easier."
"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."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"We would like to see smaller or shorter tutorials and video sessions."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"The solution should provide alerts for cloud outages."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"Its reporting can be improved. That's the only complaint I have heard. I don't need the reporting part, but I know that other people in the organization need it."
"I'd like to see more integration with more antivirus systems."
"For on-premise, it's more about optimization. With such a heavy byte scale of data that we are operating on, the search for disparate data sometimes takes about a minute. This is understandable considering the amount of data that we are pumping into it. The only optimization that I recommend is better sharding, when it comes to Splunk, so that data retrieval can be faster."
"It will be helpful for customers if they can create some real-world cases, and we can find a case study to align with. I know that Splunk has tremendous potential. We only include a tiny piece of it. There is a lot of stuff that we need to learn. If Splunk can provide more real-time examples, that will be helpful for customers."
"We usually have to follow up with technical support on our open cases."
"It can be tough to get a hold of somebody in technical support depending on the complexity of the issue."
"The product is relatively expensive."
"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."
Datadog is ranked 2nd in Log Management with 136 reviews while Splunk Enterprise Security is ranked 1st in Log Management with 221 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 AppDynamics. See our Datadog vs. Splunk Enterprise Security report.
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