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 application performance monitoring is pretty good."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"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."
"Datadog has given us near-live visibility across our entire cloud platform."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"Going from viewing a metric to creating a monitor alerting on a metric is very easy."
"The dashboards and the performance of the software have been great."
"The glass tables are very helpful."
"We have a lot of teams using Splunk and they would be blind without it."
"The most valuable aspect lies in its utilization of predictive analytics to anticipate and prevent incidents within a window of twenty to thirty minutes."
"ITSI provides a visual representation of complex tools and context, using color coding and other features to make it easy for anyone at the monitoring or service desk to use."
"ITSI's most valuable feature is that it's easy to integrate DLP."
"Splunk ITSI helps us secure our environment by allowing us to create automatons that run when alerts are triggered."
"The most valuable features are the agility, being able to ingest many data sources with no limitation on capacity."
"The modeling required to setup ITSI has been very helpful in providing us a better understanding and a logical view of our services. The modeling is flexible and can be as granular or high level as our needs dictate."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"We need more visibility into the error tracking dashboard."
"Alerting timing should be improved to be more fine-tuned and exact."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"The problem becomes the price, as Splunk is an expensive product."
"It would be good if an interface was included in the next release."
"It was an intimidating tool for us to jump into at the beginning."
"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 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."
"It would be advantageous to enhance the dashboard by incorporating sections for monitoring, service health, and a filter for the KPIs."
"The dashboard queries should be improved. More queries should be suggested in order to produce better dashboards."
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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.