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.
"Overall, the Data UI and the usability of customer features continue to improve."
"The performance of Datadog is good."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The solution has helped our organization with custom events to track specific cases."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"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."
"The integration into AWS is key as well as our software is currently bound to AWS."
"The features are pretty much ready out of the box."
"Splunk's dashboards are great."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"Detectors are a powerful feature."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The most valuable features are troubleshooting and optimizing application performance."
"The on-premise version is very difficult to upgrade."
"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."
"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."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"The product could do better with its notifications."
"The FinOps needs improvement."
"I would like testing for data in the future."
"The sheer amount of products that are included can be overwhelming."
"We currently lack log analysis capabilities in Splunk APM."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"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 monitoring of workloads when using SignalFx could be improved."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
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.