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.
"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."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"Datadog is providing efficiency in the products we develop for the wireless device engineering department."
"The most valuable aspect is for us to have everything in one place."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"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."
"Alerts and episodes are valuable to me."
"The most valuable features are the service analyzer and Glass Tables."
"The solution has been stable."
"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."
"Customers have noted the solution helps streamline incident management."
"ITSI includes a feature called a glass table."
"The flexibility to develop and consolidate many solutions into one platform is great."
"More pre-configured "Monitor Alerts" would be helpful."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"The solution needs to integrate AI tools."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"The error traceability is an area that can be improved."
"Quality-of-life features have room for improvement."
"The data recovery has room for improvement."
"It would be advantageous to enhance the dashboard by incorporating sections for monitoring, service health, and a filter for the KPIs."
"We're using predictive analytics, and there are three or four algorithms. It would be helpful if this process were more standardized and scalable."
"The license cost is expensive."
"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."
"Microservices is the only area where Splunk ITSI can be improved. When things come from one EC2 instance to another, there's a lack of exposure to microservices, so we can't know what's happening. Apart from that, it's doing pretty well."
"It was an intimidating tool for us to jump into at the beginning."
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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 11th in Application Performance Monitoring (APM) and Observability with 30 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 "Helps improve our incident response time, and our mean time to resolve, but visibility is limited". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Splunk ITSI (IT Service Intelligence) is most compared with ServiceNow IT Operations Management, Dynatrace, Grafana, 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.