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 find the greatest feature is being able to search across logs from various microservices."
"Datadog is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers."
"Excellent autocomplete for everything in the UI."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not."
"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"It has saved us a lot of trouble in implementation."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"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."
"Detectors are a powerful feature."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"The features are pretty much ready out of the box."
"Splunk's dashboards are great."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The product could do better with its notifications."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"The solution needs to integrate AI tools."
"Datadog could have a better business analysis module."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"There are some predefined metrics.......we may want to create customized metrics."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"We currently lack log analysis capabilities in Splunk APM."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"The cardinality is pretty low."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
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 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 Elastic Observability, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability and Monte Carlo. 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.