We looked into New Relic, App Dynamics, Heap, Clicktale, and more. Datadog has many of the features we were looking for in one place.

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We are currently in a POC.

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Yes, we looked at Dynatrace, AppDynamics, and New Relic. Personally, I wouldn't have chosen Datadog for the POC if it were up to me. Datadog was a leader, but New Relic was looking really good. In the end, the people above me decided to go with Datadog — it's a big company, so they wanted to move fast, which makes sense.

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We looked at several URL and APM monitoring solutions like Site24x7 and Pingdom. They weren't big players like Dynatrace or any of the those that had already provided us a request for information. 

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We looked into Dynatrace. However, we found the cost to be high.

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We looked into Dynatrace. However, we found the cost to be high.

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We looked into Splunk and some internal tools.

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I did not evaluate other options previously.

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We switched from Datadog to New Relic because it offered ET functionality. Datadog was traditionally born out of monitoring infrastructure. Over the years, they have improved their ability to give you insights at the application layer and to be considered under APM. New Relic really started at the application layer and has worked its way down. 

Ultimately, we were able to accept New Relic because coming from an operations team, infrastructure was more important. As our application became more complex, our application developers needed better insight. Because there is a significant overlap in the Venn diagram between Datadog and New Relic, we felt that the needs of the infrastructure team and the applications team could be met with New Relic and its expansion in providing a sort of lightweight security.

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We also looked into Splunk, ELK, and Dynatrace.

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We also evaluated ECE and Splunk.

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We did evaluate SolarWinds.

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We also evaluated AppDynamics and Dynatrace.

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Before choosing Datadog, we looked at Splunk.

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We also looked at Honeycomb and are currently using both in production.

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We didn't evaluate many of the other options. However, we do also use OpenTelemetry, which is vendor agnostic and integrates with Datadog.

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We looked into New Relic and a home-brewed solution as potential other options.

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I did not evaluate any other solutions.

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We did not really look at other options.

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We did not evaluate other solutions.

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Primarily we did an evaluation of other providers, such as AWS and GCP, outside of in-house solutions.

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I did not evaluate other options. 

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I wasn't part of the decision-making process.

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We came from using other solutions.

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We have only used and looked into New Relic.

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I originally chose Datadog because of my previous experience. We recently considered moving over to New Relic because we liked their APM solution better. However, the pricing of New Relic and our familiarity with Datadog won over. New Relic is a good product but it didn't fit our overall needs as well as Datadog.

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My company now is pretty good at looking at alternatives. Also, I evaluated alternative solutions at my last company. 

There are some other competitors. For example, I know one of them started doing metrics and their licensing is very cheap because the metric size is very small and it's per megabyte. They charge you per storage, and it's very small. However, the interface and integrations aren't there. and there are some other competitors, 

The other thing is granularity. Datadog gives you one second granularity for a year. Whereas, some of the competitors would roll up, so after about a week you don't have one second, you have five seconds. Then, after a month, you don't have five seconds, you have a minute. So, you start to lose the granularity, whether it be that it averages it or maxes it, you start to lose the ability to see incidents historically, which is super valuable. If we have an incident, which we think we've seen this before, and want to look back historically, we can zoom right in and see in the database where it peaked.

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I was not involved in any pre-evaluation process.

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We did look into Splunk.

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We evaluated Dynatrace and AppD before choosing this product.

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The solution we were looking for needed to provide out-of-the-box capabilities that shorten the time to value. We had limited time & limited resources. Datadog had high recommendations in these areas, so we decided to do a trial with them.

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I was not in charge of evaluating any other solutions.

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We evaluated Elasticsearch, Grafana, and Prometheus. We are still evaluating Datadog.

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We did not previously evaluate another solution.

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I did not participate in the evaluation of the other products.

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We evaluated free and open-source options, however, ultimately, we decided that we didn't have the manpower as a small company to maintain them.

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I did not evaluate others, however, my team probably did.

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We evaluated a custom ELK solution, Sumo Logic, and Logentries.

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My client is currently evaluating several monitoring tools including Datadog, Dynatrace, and AppDynamics. Compared to Dynatrace, Datadog has some room for improvement.

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We looked at several competitors at the time (Summer 2016). There did not seem to be any compelling alternatives. Once we did the PoC with Datadog, we loved it and decided to move forward.

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We did not evaluate other solutions. 

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We looked into LogRocket and New Relic.

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NewRelic

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Unfortunately, it wasn't my call to include Datadog for this Company but sure I'm glad that the Lead Architect took this decision. It brought many improvements in a small span of time.

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Prior to implementing Datadog, we evaluated Splunk.

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We looked into self-hosting something, like Prometheus. We also evaluated New Relic.

We chose Datadog for its ease of use in getting set up and what they offered us.

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A few, including Zabbix and Icinga.

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I have less experience with Zabbix than I have with Datadog, but I don't see Zabbix as a great tool for cloud specific monitoring because I cannot connect so easily to public clouds to gain all the information that I can in Datadog, which I can easily set up.

I have used Zabbix for 20 days for my personal tests and I really don't like it.

There is something that I liked with Zabbix, though. Zabbix is better for monitoring virtual machines. That's a feature that I liked. But everything else is awful. I can't have dashboards. I do not have integrations with some ITSM systems, like Jira or OTRS. It's awful because I need to have those integrations.

I would rate Zabbix a nine from one to ten for on premises environments. For cloud platforms, I rate this tool as a five, because of the complexity required to integrate it in other platforms.

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We chose Datadog over the other products that we evaluated because it had better features: notifications, alerting, and metric capture. Also, Datadog had the skill sets that we wanted at the time.

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We evaluated solutions from SolarWinds and IBM.

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We evaluated various in-house and external options.

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We did evaluate other vendors.

We chose Datadog because we were looking for an all-in-one package. They also do log caching and integrate with other systems well.

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We did look at several vendors. What it came down to is we did not want to manage the metric services ourselves anymore, and Datadog matched what it cost for us to host it ourselves.

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Yes, we evaluated a bunch of option, including New Relic, as well as toying with the idea of hosting our own, a couple of others as well. We didn't want to manage our own, our corporate culture is to let other companies be the experts when possible. In the case of Datadog, the product exists -- made sense to let them be the experts. View full review »