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.
"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."
"It helps us better manage our logs."
"Datadog is constantly adding new features."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"Profiling has been made easier."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"The web app has a real-time support chat window in which a support engineer is chatting with you within a minute."
"The solution helped reduce our alert volume."
"The correlation search functions that generate all the notables are valuable. That can get pretty complicated, and it handles that pretty well."
"Splunk's advantage is its search capability. Its search is notably faster. With Splunk, I can search easily on keywords. That is great."
"The most valuable feature of Splunk Enterprise Security is website activity monitoring."
"It definitely does help with both auditing and as well as regular monitoring. SOC does more monitoring, but ES also gives you other features that are auditing-related. The dashboards are also beneficial."
"Splunk has helped improve our company's resilience level."
"This solution helps us increase our productivity."
"Positive features include replication capabilities, software development kits, and the architecture."
"We need more advanced querying against logs."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"The error traceability is an area that can be improved."
"The ease of implementation needs improvement."
"I'm not sure what kind of features are in the roadmap right now, but I encourage the development of features for defining your organization, and allowing the visibility of what kind of metrics you can get. Those features would be really useful for us."
"The product is relatively expensive."
"We usually have to follow up with technical support on our open cases."
"The product was designed for security and IT with business intelligence needs, such as PDF exporting, but this has not been the highest priority. While the functionality is there, it could be developed more."
"It can be tough to get a hold of somebody in technical support depending on the complexity of the issue."
"Splunk ES could have more pre-built integrations and rules. The detection is fairly accurate, but it depends on the rules you create. Splunk's out-of-the-box configuration isn't that useful."
"The support that is included with the standard licensing fee is very bad."
"I would like additional features in different programming models with the support for writing queries in SQL or other languages, such as C#, Java, or some other type of query definitions."
"I think the machine learning should be emphasized. Now, it's really important to analyze Big Data, data mining. A SIEM solution, like Splunk, needs an improved data mining solution, artificial intelligence."
Datadog is ranked 2nd 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, Microsoft Sentinel and AppDynamics. See our Datadog vs. Splunk Enterprise Security report.
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