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.
"We can manage the entire system across the network and troubleshoot the pain points."
"The single dashboard is a valuable feature."
"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."
"The most valuable feature is the monitoring of servers and networks, because we have a lot of them and need to maintain control."
"The dashboards are valuable because they ease troubleshooting and viewing. It becomes easier to locate the source of a problem... The dashboards make it easier to communicate with our clients. They don't want to see the alert console, they want to see a beautiful dashboard representing their network and their business and to watch it in case something is wrong in their environment."
"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."
"Valuable features include the ability to schedule downtime, intensity or depth of monitoring which it does, different plugin packs, Centreon MAP, Centreon BI."
"The single-pane view provides us a view of all of our network infrastructure, and it is one of the most important tools that we use to see the status of our customers' networks."
"For servers and for applications, it was very, very efficient."
"In addition, the flexibility, customizability, and analytics of Centreon's dashboards are all very good. The dashboards help us see the whole network map, and that is quite valuable for us. In addition, the dashboards have helped to improve our visibility and ability to proactively ensure the right data is available at the right time... The flexibility has given us the ability to add in our own monitoring metrics and that has been quite interesting and very useful for us."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"I don't have to worry about upgrades with the AWS version."
"The technical support needs improvement."
"The Wi-Fi side needs improvement."
"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."
"I would like to see an improvement of the communication with big data systems, because Centreon is a monitoring system. In our point of view, Centreon should be a part of a source for a big data system, not a big data system itself. So, it should be easier to add data from the Centreon system to a big data system. For example, it should be able to teach machine learning."
"The reporting has room for improvement."
"There are improvements that they need to make to their API. When we're using different systems and we want to disable monitoring for a specific server, we still can't do that through the API. That's something that's lacking."
"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."
"During the initial setup we faced some issues. Part of it was because we had to become more knowledgeable in the solution. There are some gray areas and if you don't know the product well you may have issues. Another part of it was some bugs that we came across, although that's part of every software solution in IT nowadays. But the initial setup could be easier."
"The most important issue is the capability to interconnect with other systems. It already exists for some of them. For example, the Stream Connector is something we use to populate data in another system. This kind of facility for connecting should exist for all products that it makes sense to have connected to a monitoring solution."
"I'm not sure what kind of features are in the roadmap right now, but I encourage the development of features for defining your organization, and allowing the visibility of what kind of metrics you can get. Those features would be really useful for us."
"Alerting timing should be improved to be more fine-tuned and exact."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Datadog could always lower the price!"
"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
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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.
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