We performed a comparison between Datadog and Splunk Infrastructure Monitoring based on real PeerSpot user reviews.
Find out in this report how the two Cloud Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"The solution is useful for monitoring logs."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"I have found the logging and tracing features the most valuable."
"We have way more observability than what we had before - on the application and the overall system."
"We haven't really experienced any glitches or bugs."
"The data collection from our VMs, containers, databases, and backend components is valuable."
"It is very easy to monitor multiple cloud environments. It's like a single pane of glass for us. We can use it to monitor our on-prem and both of our cloud environments as opposed to having different tools for each environment. It makes it all come together in one tool."
"The solution's basic visibility is one of its most valuable features. So, it is a solution that is easy to use...The solution's initial setup process was straightforward."
"I find the monitoring console very helpful. With one click, I can see how we are performing, and at the same time, I can see what data is flowing."
"The Add data feature lets you gather any type of log and easily analyze it."
"The most valuable feature is log reporting."
"The most valuable feature in this solution is the log searching."
"I would like testing for data in the future."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"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."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"We would really like to see more from the Service Catalog."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"We have both on-prem and cloud, and the challenge is getting all our log data aggregated or streams aggregated so that it is real-time. We do a pretty good job of that, but our organization is not using it as a security platform when it can do a great job of that."
"In the next release, I would like to see more integration with other solutions."
"We still use Splunk Enterprise licensing. A lot of the newer features go into Splunk Cloud before Enterprise. We're not looking to switch our licensing over, so we're falling behind on the newer features."
"The product collects a lot of data but it does not assure that it collects all of it."
"They do not have all the features that I expect right now."
"It's a bit difficult to use. It takes some time to get into it and to get it to do what you would like it to do. It is not straightforward to use it."
"The deployment can be quite complex."
"There is a lot of room for improvement with the automation."
More Splunk Infrastructure Monitoring Pricing and Cost Advice →
Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews while Splunk Infrastructure Monitoring is ranked 13th in Cloud Monitoring Software with 23 reviews. Datadog is rated 8.6, while Splunk Infrastructure Monitoring 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 Infrastructure Monitoring writes "Helps to ingest a massive amount of raw data and use it effectively". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Splunk Infrastructure Monitoring is most compared with ServiceNow IT Operations Management, Nagios XI, Cisco Intersight, Amazon CloudWatch and ITRS Geneos. See our Datadog vs. Splunk Infrastructure Monitoring report.
See our list of best Cloud Monitoring Software vendors and best IT Infrastructure Monitoring vendors.
We monitor all Cloud Monitoring Software 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.
