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.
"It helps us better manage our logs."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"Datadog has given us near-live visibility across our entire cloud platform."
"The platform appeals to companies spanning many industries on a global scale."
"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."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"Splunk's dashboards are great."
"The features are pretty much ready out of the box."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The most valuable feature is dashboard creation."
"The solution is stable and reliable."
"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."
"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."
"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote."
"We need more visibility into the error tracking dashboard."
"Could be a little more user friendly."
"I would like better navigability across pages."
"We need to learn more about the session reply feature inside of DD."
"We currently lack log analysis capabilities in Splunk APM."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"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's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"The UI enhancements could be a way to improve the solution in the future."
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, Monte Carlo and Chronosphere. 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.