Elastic Observability vs ServiceNow Cloud Observability comparison

Elastic Observability vs. ServiceNow Cloud Observability

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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

6th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (9th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (7th)

ServiceNow Cloud Observability

Ranking in Application Performance Monitoring (APM) and Observability

37th

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.6%, down from 6.2% compared to the previous year. The mindshare of ServiceNow Cloud Observability is 0.6%, 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
Product	Market Share (%)
Elastic Observability	2.6%
ServiceNow Cloud Observability	0.6%
Other	96.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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VinayKumar16

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.

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Quotes from Members

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

Pros

"Its diverse set of features available on the cloud is of significant importance."

"The architecture and system's stability are simple."

"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 allows us to dig deep into data."

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

"It's easy to deploy, and it's very flexible."

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"The solution has been stable in our usage."

More Elastic Observability pros

"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."

"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."

Cons

"The interface could be improved."

"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."

"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."

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

"There could be more low-code features included in the product."

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

More Elastic Observability cons

"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 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."

"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

"We will buy a premium license after POC."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"The product is not that cheap."

"Elastic Observability's pricing could be better for small-scale users."

"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."

"The price of Elastic Observability is expensive."

"Pricing is one of those situations where the more you use it, the more you pay."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

More Elastic Observability pricing and cost advice

"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

17%

Computer Software Company

14%

Manufacturing Company

Government

Financial Services Firm

16%

Computer Software Company

13%

Manufacturing Company

13%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

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?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

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.

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Comparisons

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Product Reports

Elastic Observability

Download Elastic Observability product report

ServiceNow Cloud Observability

Download ServiceNow Cloud Observability product report

Also Known As

No data available

LightStep

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

ServiceNow Cloud Observability is a comprehensive platform designed to enhance visibility, control, and performance monitoring of your IT infrastructure and applications. It seamlessly integrates log management, trace management, metrics monitoring, and infrastructure monitoring in real-time, leveraging AI and machine learning for automated tasks and actionable insights. With benefits including improved visibility, faster incident resolution, enhanced application performance, simplified IT operations, and reduced costs, this cloud-native solution is ideal for businesses of all sizes with complex IT infrastructures. It integrates seamlessly with ServiceNow IT Operations Management (ITOM), supports OpenTelemetry standards, and provides AI-powered insights along with pre-built dashboards and reports.

ServiceNow

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

InVision, Twilio, Lyft, Yext, DigitalOcean,

Elastic Observability vs. ServiceNow Cloud Observability