We compared Centreon and Datadog across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Features: Centreon features a user-friendly interface with useful options for customization and manual configuration. Users like the solution’s flexible dashboards and the ability to create plugins. Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities.
Room for Improvement: Some Centreon users requested better documentation and more flexibility to customize reporting. Other areas for improvement include auto-scanning efficiency and integration. Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point.
Service and Support: Centreon is highly regarded for its prompt and knowledgeable customer service that offers support in multiple languages. However, some customers feel that the lower levels of support are inadequate. While many users spoke highly of Datadog’s support team, others reported slow support responses, especially in the Asia-Pacific region.
Ease of Deployment: Centreon's initial setup is described as time-consuming and complex. The deployment varies in duration depending on the IT infrastructure. Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor.
Pricing: Centreon's cost depends on the company's size. It is affordable and suitable for small companies, but it can be costly to scale up. 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.
ROI: Centreon delivers value by helping users identify and resolve critical issues fasters, which could yield large savings. Users said Datadog saved them time and improved visibility into security blind spots.
Comparison Results: Centreon is a flexible solution offering a range of customization options. The solution has earned high marks for support and affordability. At the same time, users say the setup can be complicated and time-consuming. Others said that auto-scanning and integration have room for improvement. 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.
"The single dashboard is a valuable feature."
"We can manage the entire system across the network and troubleshoot the pain points."
"Another feature we use is Business Activity, which provides us with an end-user perspective when a service is down or isn't working correctly. This is helpful when monitoring the KPIs. When we see a device or server that isn't working, we find the root cause."
"For servers and for applications, it was very, very efficient."
"We have all our tickets inside Centreon in real-time and can monitor a lot of ELP and CLN in real-time for application purposes."
"It supports active monitoring so we don't have to use traps. From time to time traps are not very useful because we never know if they are actually working or not. The reporting part is also valuable as are the event logs. Using them we can check right away if something has had a hiccup."
"I find the product's scalability to be one of the most valuable features since it allows us to add unlimited devices for monitoring and to set up additional polling servers without additional license cost or downtime in our monitoring."
"What we like about it is that, whereas with Nagios, by design, if you have five or six data centers, you have to open five or six web pages to see what's going on, In Centreon, this is all included in one page, a single site, one dashboard. You don't have to jump from one specific dashboard to the other."
"We use the remote server functionality on some customer sites, because you can see an independent view and are not dependent on a single connection. If you have branch offices or bigger office outside your headquarters, you can use remote servers because if the connection is broken or disrupted, then remote server will obtain a view of your environment and server availability. This is a good point against using other solutions. Because with other solutions, you don't have this feature. Then, you will be blind if you have this type of a situation."
"Valuable features include the ability to schedule downtime, intensity or depth of monitoring which it does, different plugin packs, Centreon MAP, Centreon BI."
"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"The ease of correcting these dashboards and widgets when needed is amazing."
"We can handle debugging and find out why things are breaking in our applications."
"The observability pipelines are the most valuable aspect of the solution."
"The ability to send notifications based on metadata from the monitor is helpful."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
"The technical support needs improvement."
"The Wi-Fi side needs improvement."
"To get it started is a lot of work, since it comes empty. We had to push information into it to make it work."
"Currently, we have to go through all of the different templates and take a look at how the template is configured, and how specific parameters may change across different templates with different precedents, megatons, etc. It's a lot of work and involves trial and error. I wish they could simplify the process."
"The problem with the reporting is you have to configure the report, and after that, you will have the same report every month, every week, every day. You have to sync it in order to have a great report."
"Improvements I would like to see include a discovery solution, better reports, and end-to-end monitoring."
"I would like them to improve their documentation. When I faced some issues, I was looking for more documentation on the Internet. There is official documentation on Centreon's website, which sometimes is useful. Sometimes it is not very useful, as you cannot find the information or enough examples of configuration. The answer for me was to contact the support, who helped me, but I was not able to find all the information by myself on Centreon's website. A Centreon community or blog would be helpful."
"Improvements are needed in the area of cloud monitoring, as that's a newer feature."
"Centreon introduced network discovery in the most recent update. However, it doesn't work well. Our previous monitoring tool could discover networking equipment on the network and identify the relationships between the devices."
"Centreon is actually missing an easy way to create a trendline for the metrics. Actually it is possible to create it, but you need a good knowledge of math, Centreon, and RRD."
"They need to implement template variables into the message response body."
"The documentation leaves a lot to be desired for new users."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"It lacks consistency in the APIs."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples 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."
"The pricing is a bit confusing."
"The ease of implementation needs improvement."
More Juniper Mist Premium Analytics Pricing and Cost Advice →
Centreon is ranked 12th in Cloud Monitoring Software with 27 reviews while Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews. Centreon is rated 8.6, while Datadog is rated 8.6. The top reviewer of Centreon writes "Proactive reporting guides our NOC on what needs to be fixed, saving them time". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". Centreon is most compared with Zabbix, PRTG Network Monitor, Nagios Core, Icinga and Nagios XI, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability. See our Centreon vs. Datadog report.
See our list of best Cloud Monitoring Software vendors, best Network 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.