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.
"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."
"Datadog helps us detect issues early on and helps in troubleshooting."
"The tools are powerful and intuitive to set up."
"The solution is sufficiently stable."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"Datadog has given us near-live visibility across our entire cloud platform."
"The tool's deployment is easy."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"Detectors are a powerful feature."
"The features are pretty much ready out of the box."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The features are pretty much ready out of the box."
"Splunk's dashboards are great."
"The most beneficial aspect of Slunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices."
"The most valuable features are troubleshooting and optimizing application performance."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"The pricing is a bit confusing."
"They could have better log reporting."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"We'd like Datadog to make the log storage cheaper."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"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."
"This service could be less costly."
"There are some predefined metrics.......we may want to create customized metrics."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"The monitoring of workloads when using SignalFx could 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."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"We currently lack log analysis capabilities in Splunk APM."
"The cardinality is pretty low."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Splunk APM is ranked 14th in Application Performance Monitoring (APM) and Observability with 12 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 AppDynamics, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability, Monte Carlo and VMware Aria Operations for Applications. 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.