ServiceNow Cloud Observability vs Sumo Logic Observability comparison

ServiceNow Cloud Observability vs. Sumo Logic Observability

Download the complete report

Helped 902,988 peers since 2012

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

ServiceNow Cloud Observability

Ranking in Application Performance Monitoring (APM) and Observability

42nd

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Sumo Logic Observability

Ranking in Application Performance Monitoring (APM) and Observability

65th

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (45th), AIOps (28th)

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of ServiceNow Cloud Observability is 0.7%, up from 0.4% compared to the previous year. The mindshare of Sumo Logic Observability is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
ServiceNow Cloud Observability	0.7%
Sumo Logic Observability	0.6%
Other	98.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Uday-Thentu

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.

Read full review

Shamshir Nangla

Site Reliability Engineer at LHV Bank

Getting up and running is easy, even for a newbie but management of searches definitely needs improvement

Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

Read full review

Quotes from Members

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

Pros

"To a certain extent, it is possible to save on the costs of the product."

"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."

"The main benefit of ServiceNow Cloud Observability is real-time data, which helps us move from being reactive to more proactive."

"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."

"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."

"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."

"The product is easy to learn."

"I have not seen any stability issues in the product."

"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."

"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."

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."

"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."

"The cost could be reduced or lightweight agents and lightweight modules could be introduced, which would make it much easier to implement."

"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."

"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."

"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."

"Fine-grained data can be quite frustrating to work with and should be made easier."

"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."

Pricing and Cost Advice

"The product is expensive. I rate the tool's pricing model an eight out of ten."

"I started on the free tier to try it out, but because of our usage, we're now paying for it."

"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

See recommendations

902,988 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

11%

Construction Company

10%

Retailer

Financial Services Firm

15%

Manufacturing Company

13%

Construction Company

13%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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...

What needs improvement with Sumo Logic Observability?

The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...

What is your primary use case for Sumo Logic Observability?

We used it for log observability – log aggregation specifically.

What advice do you have for others considering Sumo Logic Observability?

I would advise to have a demo with them to understand the pricing. Sumo Logic Observability used to charge per data ingest, but now they charge by queries, making it difficult to estimate the cost ...

Datadog vs ServiceNow Cloud Observability

Comparisons

Compared 11% of the time

Snyk vs ServiceNow Cloud Observability

Compared 10% of the time

New Relic vs ServiceNow Cloud Observability

Compared 7% of the time

Instana Dynamic APM vs ServiceNow Cloud Observability

Compared 5% of the time

Cribl vs ServiceNow Cloud Observability

Compared 5% of the time

More ServiceNow Cloud Observability Competitors

New Relic vs Sumo Logic Observability

Compared 14% of the time

Dynatrace vs Sumo Logic Observability

Compared 11% of the time

SolarWinds NPM vs Sumo Logic Observability

Compared 5% of the time

Netumo vs Sumo Logic Observability

Compared 4% of the time

Catchpoint vs Sumo Logic Observability

Compared 4% of the time

More Sumo Logic Observability Competitors

Product Reports

ServiceNow Cloud Observability

Download ServiceNow Cloud Observability product report

Sumo Logic Observability

Download Sumo Logic Observability product report

Also Known As

LightStep

No data available

Overview

ServiceNow Cloud Observability offers advanced monitoring and alerting capabilities, leveraging AI-driven automation and seamless integrations to enhance visibility and performance in hybrid environments.

ServiceNow Cloud Observability empowers teams with real-time metrics and tracing capabilities, essential for managing numerous microservices across hybrid environments. It integrates seamlessly with popular tools like Grafana, offering a single-pane view of application health and performance. This solution supports self-healing and AI automation, reducing manual interventions and enhancing reliability. Although powerful, users see room for improvement in SDK integration, documentation clarity, and dashboard design, while performance issues are noted when handling a large volume of traces.

What are the most important features of ServiceNow Cloud Observability?

Stream Creation: Enables dashboards via Grafana, enhancing data visualization.
Intuitive Notebooks: Facilitates sharing insights and collaboration.
AI Automation: Supports proactive workflows for better efficiency.
Performance Analytics: Provides comprehensive insights for decision-making.
Latency Monitoring: Ensures quick detection and response to issues.
Error Rate Monitoring: Identifies and addresses potential problems.
Correlation Detection: Enhances problem-solving through detailed analysis.
Self-Healing: Reduces manual interventions and improves service reliability.

What benefits or ROI should be considered in reviews?

Real-Time Visibility: Empowers comprehensive monitoring across microservices.
Seamless Integrations: Supports various tools like Grafana for enhanced functionality.
AI-Driven Reliability: Offers automation and self-healing for reduced downtime.
Performance Insights: Enhances strategic decision-making through detailed analytics.

ServiceNow Cloud Observability is crucial for industries relying on extensive microservices and hybrid environments. Its real-time metrics and tracing are vital for sectors like finance, technology, and telecommunications, where seamless operations and immediate responsiveness are critical.

ServiceNow

Sumo Logic Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.

Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.

What features make Sumo Logic Observability effective?

Well-Crafted Dashboards: Customizable options for monitoring.
Flexible Query Language: Allows detailed log searches.
Centralized Management: Enables teams to work on one platform.
Near-Real-Time Updates: Enhances timely incident resolution.
Custom Field Creation: Facilitates user-specific data requirements.

How does Sumo Logic Observability benefit organizations?

Unified Platform: Brings teams together for streamlined operations.
Enhanced Integrations: Improves log search accuracy.
Tailored for SIEM: Supports security needs with efficient log management.
Efficient Data Monitoring: Automates processes for ease of management.
Scalability: Handles large data volumes efficiently.

Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.

Sumo Logic

Sample Customers

InVision, Twilio, Lyft, Yext, DigitalOcean,

Information Not Available

ServiceNow Cloud Observability vs. Sumo Logic Observability