We compared Datadog and Nagios Core across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Features: Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities. Nagios Core is an adaptable solution praised for its integration, customizability, and ability to effectively monitor server availability and network connectivity.
Room for Improvement: Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. Nagios Core users have requested better documentation, improved scalability, and a more user-friendly configuration process.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support responses, especially in the Asia-Pacific region. Nagios Core lacks direct customer service, but users can generally find help from a supportive open-source community and large knowledge base.
Ease of Deployment: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. Nagios Core's setup is generally seen as well-documented and straightforward.
Pricing: Opinions about Datadog's price are divided. Some users found it costly, but others thought it was acceptable. Some said the pricing model could be clearer and better explained. Nagios Core is free, but users may incur costs for installation and configuration.
ROI: Users said Datadog saved them time and improved visibility into security blind spots. Nagios Core users say they have saved money by replacing paid monitoring tools with this open-source solution.
Comparison Results: Datadog is praised for its customizability, easy setup, and robust AI features, but some users say it has room for improvement in areas like usability and integration. Datadog’s pricing and customer service received mixed reviews. Nagios Core is a flexible open-source solution that is highly customizable and offers robust functionality commonly found in paid enterprise solutions. However, some users have said that Nagios Core becomes unwieldy when used at a large scale and that the documentation could be more thorough.
"We can manage the entire system across the network and troubleshoot the pain points."
"The initial setup is very straightforward."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"We find they have a very helpful alert system."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"I like that it's very simple to install, easy to manage and deploy, and easy to use for monitoring."
"What I like about Nagios Core is that it helps me ensure everything is running smoothly by checking the status of hosts and services."
"Provides timely notifications."
"Alert calls occur anytime a service goes down or a matrix is difficult and that helps us to quickly restore service and transfer work."
"Dashboard provides monitor of total assets."
"The solution is quite efficient."
"The most valuable feature of Nagios Core is it allows us to develop and add as many plugins as we want."
"Our customers like that Nagios Core is an open source solution. It can be customized to our customers' specific needs."
"The Wi-Fi side needs improvement."
"The documentation leaves a lot to be desired for new users."
"This service could be less costly."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"We need more advanced querying against logs."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"The FinOps needs improvement."
"We need more integration with security tools like Drata."
"We'd like Datadog to make the log storage cheaper."
"The tool needs to improve the integrations."
"Nagios Core does not have a graphic display."
"The dashboard and monitoring features could be improved."
"I believe Nagios Core will need to provide an option for big data platforms in the future."
"Cloud monitoring is an area for improvement because there aren't too many plugins available."
"There is room for improvement in the graphics."
"The core version is no match for the XI version."
"I would like to see more training videos."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while Nagios Core is ranked 7th in Network Monitoring Software with 46 reviews. Datadog is rated 8.6, while Nagios Core is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Nagios Core writes "An Open Source Fully Featured Data Centre Monitoring Tool". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Nagios Core is most compared with Zabbix, Nagios XI, Centreon, Icinga and OP5 Monitor. See our Datadog vs. Nagios Core report.
See our list of best Network Monitoring Software vendors and best IT Infrastructure Monitoring vendors.
We monitor all Network 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.
