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.
"Dashboards and their versatility are among the most valuable features."
"With Datadog I can look at the health of the technology stack and services."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"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."
"The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The features are pretty much ready out of the box."
"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 solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"The features are pretty much ready out of the box."
"The most valuable features are troubleshooting and optimizing application performance."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"I often have issues with the UI in my browser."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"We need a lot of modules since we collect all data logs from all operating systems."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"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 needs a better Datadog agent installation."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"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."
"We currently lack log analysis capabilities in Splunk APM."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"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 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.