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Datadog vs ServiceNow Cloud Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
ServiceNow Cloud Observability
Ranking in Application Performance Monitoring (APM) and Observability
64th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.4%, down from 9.0% compared to the previous year. The mindshare of ServiceNow Cloud Observability is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.4%
ServiceNow Cloud Observability0.7%
Other94.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
Uday-Thentu - PeerSpot reviewer
Project Manager at a tech vendor with 10,001+ employees
Automation has reduced incident impact and is driving proactive self‑healing across hybrid services
ServiceNow Cloud Observability's valuable features include AI agents that can be integrated and triggered with workflows for evaluating and taking the right action in both process and technical aspects. On the process side, it ensures the right approvals are triggered. From the technical aspect, it allows integration for taking relevant action without human intervention, moving towards self-healing. The main benefit of ServiceNow Cloud Observability is real-time data, which helps us move from being reactive to more proactive. By defining and fine-tuning workflows, we were able to implement timely notification and auto-action or auto-remediations. At the same time, if anything involves additional cost or requires intervention, it helps trigger approval notifications, and once approval is received, it timely takes the action. The AI agents help define and fine-tune those workflows further.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The dashboards and the performance of the software have been great."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The solution has improved our organization by expanding the awareness of issues and alerts beyond SRE and really empowering software engineers at a team level to make changes to monitoring and incident responses."
"Cost and performance optimization were the major enhancements for our organization."
"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."
"Datadog has had a significant positive impact on our organization overall, particularly in visibility, reliability, and cost efficiency, allowing us to centralize metrics, logs, and traces across our cloud, moving from reactive to proactive monitoring, with improvements including faster incident detection and resolution, enhanced service reliability, better cost and resource optimization, and shared dashboards providing the engineering and product teams a single source of truth for system health and performance, thus enhancing our overall observability and operational efficiency."
"The ability to send notifications based on metadata from the monitor is helpful."
"It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
"To a certain extent, it is possible to save on the costs of the product."
"The ability to create a stream based on different parameters, operation name, service name, URL, tags, and URI part, is one valuable feature."
"The UI is very intuitive."
"The solution Lightstep/ServiceNow has a couple of pretty advanced functionalities to help us investigate a deviation and help the development teams have better observability in the environment using distributed and complex services."
"The main benefit of ServiceNow Cloud Observability is real-time data, which helps us move from being reactive to more proactive."
 

Cons

"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"They should continue expanding and integrating with more third-party apps."
"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."
"More helpful log search keywords/tips would be helpful in improving Datadog's log dashboard."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"The sheer amount of products that are included can be overwhelming."
"In my experience, Datadog is stable, though there's typically at least one or two incidents per week."
"Particularly as Datadog starts offering more platform capabilities like APM, Watchdog, shift left initiatives like instrumentation, continuous testing, intelligent test runner, and Synthetic and real user monitoring, the UI can become more and more clunky, giving users a very frustrating experience."
"In terms of licensing, users would want the product to offer them the ability to tailor the tasks offered in the solution to suit their needs."
"The cost could be reduced or lightweight agents and lightweight modules could be introduced, which would make it much easier to implement."
"The dashboard and graphics must be improved."
"The design of this solution is not very intuitive and probably could come with more friendly tips for beginners."
"The support team could be better. Because of the different versions of different tactics of integrating reactive code base, the documentation is not very clear if someone has to be onboard. I would rate the documentation of Lightstep a five out of ten. It could need improvement."
 

Pricing and Cost Advice

"It didn't scale well from the cost perspective. We had a custom package deal."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"It has a module-based pricing model."
"They prefer monthly subscriptions."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"The cost is high and this can be justified if the scale of the environment is big."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The product is expensive. I rate the tool's pricing model an eight out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Financial Services Firm
11%
Construction Company
11%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What needs improvement with LightStep?
The cost could be reduced or lightweight agents and lightweight modules could be introduced, which would make it much easier to implement.
What is your primary use case for LightStep?
ServiceNow Cloud Observability's main use case is end-to-end automation starting from the trigger in the cloud. Currently, it focuses more on self-healing and understanding the complete uptime of e...
What advice do you have for others considering LightStep?
Regarding security, I unfortunately do not have much hands-on experience. My focus has been majorly on self-healing activities, but given what I have observed, it does provide a good opportunity in...
 

Also Known As

No data available
LightStep
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
InVision, Twilio, Lyft, Yext, DigitalOcean,
Find out what your peers are saying about Datadog vs. ServiceNow Cloud Observability and other solutions. Updated: August 2026.
908,834 professionals have used our research since 2012.