We compared Datadog and Splunk APM based on our users' reviews in five parameters and you can find our conclusion below.
Comparison Results: Users appreciate Datadog's user-friendly interface, ease of use, and seamless setup. Its extensive integrations, troubleshooting capabilities, and instrumentation features are highly valuable. Additionally, Datadog offers flexibility and observability, along with a wide array of additional features. On the other hand, while Splunk APM is also considered user-friendly and quick to deploy, it lacks customization options and has challenging log navigation, resulting in slower performance. Despite being somewhat expensive, Datadog's pricing is justified due to its value and flexibility, whereas Splunk APM's pricing is reasonable. The customer service and support for both products generate mixed reviews, but Datadog generally receives positive feedback for its helpful and responsive support.
"I don't have to worry about upgrades with the AWS version."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"Datadog has clear dashboards and good documentation."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"The performance of Datadog is good."
"The platform appeals to companies spanning many industries on a global scale."
"Its logs are most valuable."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"The most valuable feature is dashboard creation."
"Detectors are a powerful feature."
"Splunk's dashboards are great."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The most valuable features are troubleshooting and optimizing application performance."
"The solution is stable and reliable."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"Additional metrics should be included."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"It seems that admin cost control granularity is an afterthought."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"We need more integration with security tools like Drata."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"There are some predefined metrics.......we may want to create customized metrics."
"The UI enhancements could be a way to improve the solution in the future."
"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"Primarily, the logs in Slunk APM can be challenging to navigate and comprehend, making it difficult to understand the details within each log. Compared to other tools like LogDNA, which are more intuitive in this aspect, the logs in Slunk APM can require more effort to understand."
"The monitoring of workloads when using SignalFx could be improved."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"We currently lack log analysis capabilities in Splunk APM."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Splunk APM is ranked 13th in Application Performance Monitoring (APM) and Observability with 13 reviews. Datadog is rated 8.6, while Splunk APM is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Splunk APM writes "Provides great visibility, analysis, and data telemetry". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability and Monte Carlo. See our Datadog vs. Splunk APM report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.