Datadog vs. Dynatrace

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$1.27
per month (billed annually) per host
Dynatrace
Score 8.0 out of 10
N/A
Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
$0
per synthetic request
Pricing
DatadogDynatrace
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Synthetic Monitoring
$0.001
per synthetic request
Kubernetes Platform Monitoring
$0.002
per hour for any size pod
Real User Monitoring
$0.00225
per session
Application Security
$0.018
per hour for 8 GIB host
Infrastructure Monitoring
$0.04
per hour for any size host
Full-Stack Monitoring
$0.08
per hour for 8 GIB host
Offerings
Pricing Offerings
DatadogDynatrace
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogDynatrace
Considered Both Products
Datadog
Chose Datadog
Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to dynatrace).

Chose Datadog
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
Chose Datadog
Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in …
Chose Datadog
the search query is very easy to search the logs
Chose Datadog
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
Chose Datadog
We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
Chose Datadog
Better performance and visibility than what I was able to obtain out of AppDynamics

Their OnCall offering is very fresh still, but is already almost at parity with Splunk On Call (VictorOps)
Chose Datadog
The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like Appdynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
Chose Datadog
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
Chose Datadog
One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
Chose Datadog
Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies.
Chose Datadog
OEM and Vertica Management console are limited to their own databases whereas Datadog has the ability to monitor multiple types of databases.
Chose Datadog
New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
Chose Datadog
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
Chose Datadog
Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of …
Chose Datadog
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
Chose Datadog
It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
Chose Datadog
I am listing how Datadog is better than below chosen
NotSensu - Datadog has more integrations and easy to use UI.
Prometheus - Datadog Integration are more in number than, simple installation process
Chose Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Chose Datadog
The pricing, the customer service and it most importantly it does the job we expect.
Chose Datadog
Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than …
Chose Datadog
Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other …
Dynatrace
Chose Dynatrace
Single Agent deployment
AI analysis that provides insight discovery and pure path
Able to analyst performance data quickly and next hop.
Chose Dynatrace
New relic was mostly like readonly dashboard and restricted how we slice and dice the data presented to us. Ability to drill down was seriously limited.
Chose Dynatrace
Dynatrace UI seems better compared to splunk also DT gives better flexibility in terms of plans and costs. For logging monitoring we are using splunk and splunk is better for that purpose. But hosts and server monitoring and alerting perspective Dynatrace is better. Dynatrace …
Chose Dynatrace
Dynatrace gives the overall picture of the application usage and performance by default with minimal configurations whereas in Datadog a lot of manual intervention is required to analyze the application performance and troubleshooting the issues. Dynatrace is user-friendly when …
Chose Dynatrace
Dynatrace has three key points: ease of deployment, ease of access and a very low learning curve. Also the info provided by the DT agents are easy to understand and relate to root cause. Also the user interface is very simple and can be configured/shared to provide the data to …
Chose Dynatrace
We selected Dynatrace because it is much more modern and depends on AI, on auto-discovery, and other features, making it really a next-gen monitoring solution. It is not easy to on-board to Dynatrace, as it has an extremely steep learning curve. It is also possible that other …
Chose Dynatrace
Dynatrace has better PHP microservice monitoring than AppDynamics. There is also no sampling.
Chose Dynatrace
Dynatrace is far superior to the other products. The single pane of glass and ease of use are why we chose Dynatrace.
Chose Dynatrace
Some of these tools we use alongside Dynatrace, and others we chose Dynatrace over. Since Ruby is not a Dynatrace supported language, we use New Relic to monitor those applications. We are an AWS shop so naturally, we use CloudWatch metrics for things like auto-scaling where it …
Chose Dynatrace
I have used a plethora of Application Performance Management (APM) tools, all have their niche. Dynatrace provides the best-in-class experience for support, operations, and platform engineering teams. In addition, access for my Enterprise Development teams has been critical. …
Chose Dynatrace
BMC was only a basic APM with not much detail or drilling into the issue. It only showed there was a problem with the host. Before Dynatrace, to troubleshoot an issue we had to log into different consoles for different applications and review logs. Now with a quick visual and a …
Chose Dynatrace
The Dynatrace product was much more feature-rich than New Relic. We went through multiple proofs of concepts with each vendor using our actual system. We found that both did some things the same but in other areas, the Dynatrace product was much better. There was a black box …
Chose Dynatrace
Dynatrace is much more expensive than Pingdom, but it does a better job of doing synthetic monitors and the credential store is much better. When it comes to availability it does a better job of creating of synthetic monitors and it can create a credential store which is a big …
Chose Dynatrace
AppDynamics and New Relic did not provide the ease of usability and the amount of automation that Dynatrace is able to provide us.
Chose Dynatrace
I would consider Network Application Monitoring as looking at and under the foundation, while Dynatrace provides insights to the house and structure.
Chose Dynatrace
We didn't like AppDynamics as much we like Dynatrace.
Chose Dynatrace
I have not evaluated any other monitoring products. Our company has evaluated other products that have not stacked up against Dynatrace. Dynatrace has deeper monitoring than others and provides excellent alerting capabilities. Dynatrace was selected for those features as well …
Chose Dynatrace
Dynatrace provides the best insights into our environment from end to end. It provides user sessions throughout the application so, we can see exactly what users are doing and potentially not only fix problems but provide improvements before any issues arise. There is no …
Chose Dynatrace
Dynatrace is superior to all other products on the market.
Chose Dynatrace
Dynatrace is much easier and more thorough than DX APM.
Best Alternatives
DatadogDynatrace
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
Logz.io
Logz.io
Score 7.0 out of 10
Logz.io
Logz.io
Score 7.0 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
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User Ratings
DatadogDynatrace
Likelihood to Recommend
9.0
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
10.0
(0 ratings)
7.9
(0 ratings)
Availability
-
(0 ratings)
8.2
(0 ratings)
Performance
-
(0 ratings)
7.3
(0 ratings)
Support Rating
8.9
(0 ratings)
8.2
(0 ratings)
In-Person Training
-
(0 ratings)
8.2
(0 ratings)
Online Training
-
(0 ratings)
8.2
(0 ratings)
Implementation Rating
-
(0 ratings)
7.9
(0 ratings)
Configurability
-
(0 ratings)
7.3
(0 ratings)
Ease of integration
-
(0 ratings)
7.3
(0 ratings)
Product Scalability
-
(0 ratings)
7.3
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.2
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.2
(0 ratings)
User Testimonials
DatadogDynatrace
Likelihood to Recommend
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
Read full review
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
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Pros
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
Read full review
  • We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
  • Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
  • Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
Read full review
Cons
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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  • Dynatrace does not monitor easily on AIX OS.
  • Dynatrace does not monitor easily on a C-based application.
  • The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
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Likelihood to Renew
No answers on this topic
We have got tremendous support and response from the dynatrace support team as well as the larger community. We still have issues like the lack of role based administration, but we are told that it may be coming in a future release. The team is very supportive and has assisted us in several tough situations.
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Usability
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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Dynatrace is great to use once you understand how to use it correctly and get used to the layout of it. While I do not actively use it every day, whenever I do use it, I do have to get refamiliarized with it. However, once you have your dashboards setup correctly with the data that you want to see when you first login to Dynatrace, it's amazing.
Read full review
Reliability and Availability
No answers on this topic
Our environment, it never goes down therefore is always available.
Read full review
Performance
No answers on this topic
We have not seen where it does slow down an application.
Read full review
Support Rating
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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I wish I could have given the ten points but based on my experience in past I am reducing by two points as the penalty. But I am sure that it will have improved in the past few months. They need some improvement on ticket handling. Overall I appreciate some of the support folks who responded quickly and also were ready to jump on the Webex and get the problem understood to fix it.
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In-Person Training
No answers on this topic
We did both online and in house training - they used our system so it made more sense.
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Online Training
No answers on this topic
The training was done on our time and with our system.
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Implementation Rating
No answers on this topic
Using Dynatrace support services to assist (and lead) the implementation was extremely important.
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Alternatives Considered
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
Read full review
Like I mentioned earlier, Dynatrace is a great tool but comes with a heavy price tag. On the other hand, Foglight offers a slightly lower level of expertise in application monitoring but fulfils almost all the requirements you would commonly have. The only major feature lacking in Foglight is the predictive monitoring feature. If you are an SME struggling with budgets, then predictive monitoring is something you can certainly live without.
Read full review
Scalability
No answers on this topic
Dynatrace can be used to monitor may software tools
Read full review
Return on Investment
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
Read full review
  • Thanks to Dynatrace we have been able to effectively challenge and collaborate with service providers and outsourced IT teams.
  • Thanks to Dynatrace we have reduced MTTR on troubleshooting by a magnitude of four.
  • The performance analyses our team has done with Dynatrace earned us trust among management, business teams, and IT teams.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.