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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 (3rd), Container Monitoring (1st), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
ServiceNow Cloud Observability
Ranking in Application Performance Monitoring (APM) and Observability
38th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.3%, down from 9.6% 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 Market Share Distribution
ProductMarket Share (%)
Datadog5.3%
ServiceNow Cloud Observability0.7%
Other94.0%
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.
VinayKumar16 - PeerSpot reviewer
Senior DeliveryManager at ITC Infotech
Provides ease of use in areas like analytics and reporting
The feature of the tool that is more impactful for cloud performance stems from the area revolving around analytics and reporting. It is an easy-to-use tool. There is something known as performance analytics within ServiceNow that offers complete analytics, which offers end-to-end analytics along with the KPI metrics with what we have in place and so on. With the aforementioned aspects of the tool, I think we should be able to create a dashboard according to the operations view called the operation dashboard view, specifically for C-level executives.

Quotes from Members

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

Pros

"Datadog has positively impacted our organization by allowing us to look at things such as Cloud Spend and make sure our services are running at an optimal performance level."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"It has a nice UI."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"To a certain extent, it is possible to save on the costs of the product."
"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 UI is very intuitive."
"The ability to create a stream based on different parameters, operation name, service name, URL, tags, and URI part, is one valuable feature."
 

Cons

"The product is quite complex, and there are so many features that I either didn't know about or wasn't sure how to use."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application."
"The documentation could be improved regarding setting up the agent properly and debugging."
"Datadog is a platform that can be improved by making its pricing more predictable, as sometimes it is difficult to forecast exactly how much a new project will cost until after we have started ingesting the data."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"They need to implement template variables into the message response body."
"Datadog could be improved with a simpler graphical user interface that can be extended to non-technical users, such as a CXO, if they want to review the dashboard overall for current tickets and the ticketing dashboard."
"The dashboard and graphics must be improved."
"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."
"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 design of this solution is not very intuitive and probably could come with more friendly tips for beginners."
 

Pricing and Cost Advice

"The solution's pricing depends on project volume."
"​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."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"This solution is budget friendly."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The price is better than some competing products."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"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%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
16%
Manufacturing Company
12%
Computer Software Company
9%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
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?
There are a lot of workflows and connectors. 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.
What is your primary use case for LightStep?
I use the solution in my company since it has multiple tenants available. Basically, what happens in business is that you have a hybrid setup model, and for that, you extensively use a cloud platfo...
What advice do you have for others considering LightStep?
I recommend the product to others. I rate the tool an eight out of ten.
 

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: February 2026.
881,733 professionals have used our research since 2012.