We compared Datadog and Splunk ITSI (IT Service Intelligence) across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Comparison Results: Users commend Datadog for its intuitive interface and adaptable AI/ML capabilities, but some users complain that the setup was too involved and the learning curve too steep. Splunk earned high marks for its automated dashboard creation and correlation search. At the same time, reviews suggested that Splunk could improve dashboard queries and API-based integration.
"The ability to send notifications based on metadata from the monitor is helpful."
"The observability pipelines are the most valuable aspect of the solution."
"We really like the charts and visualization."
"Overall, the Data UI and the usability of customer features continue to improve."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"We can handle debugging and find out why things are breaking in our applications."
"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 most valuable features are the agility, being able to ingest many data sources with no limitation on capacity."
"ITSI's most valuable feature is that it's easy to integrate DLP."
"The feature that stood out to me most from Splunk IT Service Intelligence (ITSI) was automated dashboarding or reporting. The solution lists the severity level of issues, and the response times."
"One of the excellent features is the service analyzer, which is truly impressive."
"We have a lot of teams using Splunk and they would be blind without it."
"We liked the built-in calculation of health scores."
"The solution has been stable."
"We save substantial time on monitoring tasks because we don't have to search for what we need. Everything is packed, so you can drill down to the end values by just doing the kit. We don't spend a lot of time on this. Splunk ITSI is easy to use and not time-consuming."
"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."
"Lately, chat support has a longer waiting time."
"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."
"The product could do better with its notifications."
"I would love to see more metrics or analytics in IoT devices."
"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 is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"There is occasional UI slowness and bugs."
"It would be good if an interface was included in the next release."
"The solution should integrate more features in NEAP."
"We experience occasional delays in receiving solutions from Splunk technical support. Splunk's support for P3 cases seems inadequate, as they frequently switch support personnel. For instance, in a single P3 case, we had three different technical support representatives assigned. We were ultimately forced to escalate the issue to our account manager to get it resolved. In essence, we never receive complete support from a single point of contact; instead, the support team keeps changing, necessitating us to explain the problem from scratch each time."
"ITSI could benefit from a security model that would allow operations team members to get involved in model building, KPI implementation, and model maintenance, while maintaining appropriate segregation of duties."
"Some of our customers occasionally require the development of the connectors when there are no native connectors so that we can develop in Python or for customer slash comments as well. If they could adjust that, it would be ideal."
"Quality-of-life features have room for improvement."
"It could be a little easier to use with the thresholding. We've struggled a little bit with thresholding."
"Predictive analytics, in terms of preventing incidents before they occur, still needs time to mature."
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Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Splunk ITSI (IT Service Intelligence) is ranked 12th in Application Performance Monitoring (APM) and Observability with 28 reviews. Datadog is rated 8.6, while Splunk ITSI (IT Service Intelligence) 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 ITSI (IT Service Intelligence) writes "Provides great end-to-end visibility into our network environment and helped us reduce alert noise". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Splunk ITSI (IT Service Intelligence) is most compared with ServiceNow IT Operations Management, Grafana, Dynatrace, Splunk APM and Elastic Observability. See our Datadog vs. Splunk ITSI (IT Service Intelligence) report.
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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.
