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 have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"The application performance monitoring is pretty good."
"The initial setup is very straightforward."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"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 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 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 volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"The pricing is a bit confusing."
"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."
"Datadog could have a better business analysis module."
"The real issue with this product is cost control."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"Alerting timing should be improved to be more fine-tuned and exact."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"The product needs to have more enterprise approach to configuration."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"There are some predefined metrics.......we may want to create customized metrics."
"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 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 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.