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Elastic Observability vs ServiceNow Cloud Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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

Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
IT Infrastructure Monitoring (7th), Log Management (15th), Container Monitoring (4th), Cloud Monitoring Software (7th)
ServiceNow Cloud Observability
Ranking in Application Performance Monitoring (APM) and Observability
41st
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 April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 5.4%, down from 5.7% compared to the previous year. The mindshare of ServiceNow Cloud Observability is 0.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
VinayKumar16 - PeerSpot reviewer
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

"Machine learning is the most valuable feature of this solution."
"It's easy to deploy, and it's very flexible."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"The solution has been stable in our usage."
"The most valued feature of Elastic is its log analytics capabilities."
"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."
"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."
 

Cons

"The interface could be improved."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"There could be more low-code features included in the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"Elastic Observability needs to have better standardization, logging, and schema."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"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."
"The design of this solution is not very intuitive and probably could come with more friendly tips for beginners."
"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."
 

Pricing and Cost Advice

"The product’s pricing needs improvement."
"The product is not that cheap."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"Elastic Observability's pricing could be better for small-scale users."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"Pricing is one of those situations where the more you use it, the more you pay."
"The price of Elastic Observability is expensive."
"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
20%
Computer Software Company
15%
Manufacturing Company
9%
Government
6%
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
11%
Retailer
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...
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...
 

Also Known As

No data available
LightStep
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
InVision, Twilio, Lyft, Yext, DigitalOcean,
Find out what your peers are saying about Elastic Observability vs. ServiceNow Cloud Observability and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.