Datadog vs. Nagios Core

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
Nagios Core
Score 8.6 out of 10
N/A
Nagios provides monitoring of all mission-critical infrastructure components. Multiple APIs and community-build add-ons enable integration and monitoring with in-house and third-party applications for optimized scaling.N/A
Pricing
DatadogNagios Core
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
Single License
Free
Single License
Free
Offerings
Pricing Offerings
DatadogNagios Core
Free Trial
YesYes
Free/Freemium Version
YesYes
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
DatadogNagios Core
Best Alternatives
DatadogNagios Core
Small Businesses
InfluxDB
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Score 8.8 out of 10
Veeam ONE
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Score 8.2 out of 10
Medium-sized Companies
Sumo Logic
Sumo Logic
Score 9.4 out of 10
Icinga
Icinga
Score 7.8 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
Zabbix
Zabbix
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogNagios Core
Likelihood to Recommend
9.0
(0 ratings)
8.5
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.9
(0 ratings)
Usability
10.0
(0 ratings)
4.0
(0 ratings)
Support Rating
8.9
(0 ratings)
7.7
(0 ratings)
User Testimonials
DatadogNagios Core
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.
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Nagios is simply a very configurable and rock solid monitoring engine. For these reasons I would recommend it to any IT professional in any medium to large organization where creating custom checks and programming ones custom needs into the configuration is practical. I would be more hesitant to recommend it as a first monitoring solution for a small business which is usually accompanied by a less experienced and/or more time constrained admin.
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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.
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  • Network and server status alerts if a device is in a down state.
  • Gives you the top view down of your entire network infrastructure.
  • It can be customized to your exact needs.
  • You have two options of agentless and agent monitoring.
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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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  • It's built by engineers for engineers so setting it up and configuring it is relatively complicated. It could really use a simplified configuration approach, or a GUI to set it up instead of editing config files.
  • I'd like to see the option to have service notification settings inherited from the host setting notifications. They have to be set up separately but they are often the same, so it would be nice to have less redundancy.
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Likelihood to Renew
No answers on this topic
We're currently looking to combine a bunch of our network montioring solutions into a single platform. Running multiple unique solutions for monitoring, data collection, compliance reporting etc has become a lot to manage.
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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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The Nagios UI is in need of a complete overhaul. Nice graphics and trendy fonts are easy on the eyes, but the menu system is dated, the lack of built in graphing support is confusing, and the learning curve for a new user is too steep.
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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 haven't had to use support very often, but when I have, it has been effective in helping to accomplish our goals. Since Nagios has been very popular for a long time, there is also a very large user base from which to learn from and help you get your questions answered.
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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.
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We have tested several other monitoring products which were able to monitor the basic matrix (Memory, DiskUsage, CPU%, UpTime, Running Service Status, Port 80 Up/Down). Although some offered far better UIs, they lacked the ability to monitor ANYTHING. Zabbix, being the only contender worthy of competing, is a good alternative to Nagios. We also tried Zenoss Core & OpenNMS which were good enough for non-Linux engineers to get started with. OP5 was another service-oriented monitoring solution we evaluated. Apart from Nagios, Consul is heavily used to monitor & register the micro-service systems & end-point URLs. Due to the time invested (9+years) in Nagios, we were able to get more components installed/configured easily than alternatives.
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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.
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  • With it being a free tool, there is no cost associated with it, so it's very valuable to an organization to get something that is so great and widely used for free.
  • You can set up as many alerts as you want without incurring any fees.
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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.