Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.7 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.
$18
per month per host
Nexthink
Score 7.4 out of 10
N/A
Nexthink Workplace Experience is a cloud-native platform allowing IT teams to manage the Digital Employee Experience (DEX) by providing insights across devices, applications, users, operating systems, locations and organizational units.N/A
Pricing
DatadogNexthink
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
No answers on this topic
Offerings
Pricing Offerings
DatadogNexthink
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalRequired
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogNexthink
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User Ratings
DatadogNexthink
Likelihood to Recommend
9.4
(55 ratings)
9.1
(12 ratings)
Usability
9.2
(34 ratings)
-
(0 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogNexthink
Likelihood to Recommend
Datadog
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
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Nexthink
I've been managing desktops for 20+ years and Nexthink was the missing tool out of my toolbox. Just to give some perspective, if you were building and maintaining a house, Nexthink would be comparable to switching up from a hammer and nails and to full blown using a nailgun. Nexthink is a solution accelerator and a well thought out toolset to give you the customer experience at a glance. It allows for so much more visibility just with the default set of data points the Collector (agent) gathers, which is A LOT, and grants you the ability to gather even more data with remote actions. All of this evidence cuts how the "it could possibly be this" and "maybe it's that" discussions when you're troubleshooting an issue. It may not provide the exact answer all the time, but it gives you a "compass point" on where you need to start looking to resolve the issue. Also the service monitoring, activity monitoring, and critical event thresholds really empower the teams to know when a problem is happening and they can get ahead of it before the first call even reaches the Help Desk. Nexthink is a cornerstone tool in our environment for end user experience and I'm excited to see where the go next.
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Pros
Datadog
  • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
  • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
  • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
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Nexthink
  • It allows for an IT department to be proactive with finding/solving issues before they happen
  • It allows for a company to have a great tool for engaging with end users using campaigns/surveys
  • It shows the full overall picture of a device/network connections when troubleshooting user issues.
Read full review
Cons
Datadog
  • 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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Nexthink
  • The on-premise solution can be slow at times and resource-demanding even on newer laptops. (This isn't the case with the cloud offering.)
  • Some useful features are only available to cloud customers.
  • Library pack configuration could be made easier, often these packs require some customization and it's not always clear how to get them up and running after importing.
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Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
Nexthink
No answers on this topic
Usability
Datadog
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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Nexthink
No answers on this topic
Support Rating
Datadog
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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Nexthink
No answers on this topic
Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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Nexthink
No answers on this topic
Alternatives Considered
Datadog
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.
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Nexthink
Nexthink had better integration and a better user interface. 1E did not have the engagement capability which is so critical to many of the actions we complete using Nexthink. Nexthink had better trending data capabilities. 1E did not capture and hold data the way Nexthink does so all data assumes you are able to pull information from all systems at any time. with remote systems it is unlikely you will capture all systems at the same time so it makes any actions less effective. this review was performed 4 years ago so 1E may have addressed some of these limitations but Nexthink has also grown and continues to add and improve on their industry-leading capabilities.
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Return on Investment
Datadog
  • 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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Nexthink
  • SCCM proactive remediation: Automatically resolving hundreds of SCCM issues per month
  • Hardware: Identification of over $5m cost avoidance by seeing a lack of usage for 128GB SSDs - no need to upgrade to 256GB... coupled with OneDrive migration packs in the Nexthink library this is valuable.
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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.

Nexthink Screenshots

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