

ServiceNow IT Operations Management and Elastic Observability compete in IT operations and management. ServiceNow takes the upper hand with comprehensive ITSM capabilities and integrated service mapping, while Elastic's strengths are in real-time analytics and data search.
Features: ServiceNow IT Operations Management offers broad feature sets with discovery, service mapping, and orchestration, alongside cloud support and integration. Its suite promises scalable and stable ITSM solutions. Elastic Observability focuses on log management, real-time analytics, and machine learning enhancements, making it a powerful tool for data-centric environments.
Room for Improvement: ServiceNow IT Operations Management faces high costs and complex deployment issues, with a call for more proactive machine learning features and better discovery capabilities. Elastic Observability can improve its visualization, synthetic monitoring, and feature integration, with a need for enhanced out-of-the-box functionalities and cost-effective adaptability.
Ease of Deployment and Customer Service: ServiceNow IT Operations Management supports versatile deployment across various cloud environments but has mixed customer service reviews needing better response times. Elastic Observability, mainly on-premises, requires stronger customer support to compete with ServiceNow's responsiveness and clarity.
Pricing and ROI: ServiceNow IT Operations Management's high costs are offset by significant potential ROI due to tool consolidation. Elastic Observability is seen as more affordable and favorable for large users due to open-source components, offering flexible pricing compared to ServiceNow.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
It reduced staffing needs from four full-time staff to fewer due to automation.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
They respond promptly when we call to open a ticket.
For minor issues, the team takes a month's time to provide a fix.
The response time of technical support could be improved.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
ServiceNow ITOM scales very well to small and medium businesses.
It integrates with every single tool, even external tools.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Since it is a Platform as a Service (PaaS) or Software as a Service (SaaS) solution, I consider the stability to be very high, rating it ten out of ten.
It helps us create custom dashboards and provides excellent search functionality where we can search for any issues or errors that have occurred and take corrective action before it impacts the users.
All while benefiting from a single tool, single maintenance, and reduced license costs.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Enhancing analytics is crucial, as we have seven years of data providing a substantial history of past ITSM and non-ITSM business tickets that can help predict and reduce the volume of calls.
A more streamlined configuration process tailored to use cases and industry would be beneficial.
It provides many out-of-the-box functionalities along with customization options.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
The pricing model offers scaling where not everything consumes a license equally, providing more value across different business areas.
ServiceNow's pricing is expensive.
It is definitely high-priced compared to other products available in the same domain in the market.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
The performance analytics of ServiceNow was especially beneficial for setting thresholds, aggregating, and correlating infrastructure data.
ServiceNow IT Operations Management influences ITSM processes by automating them and aiding in detecting and resolving IT issues to improve performance, reliability, and uptime.
They provide seamless integration of ITOM with their other modules such as ITSM, where we can leverage the AIs for discovery, perform impact analysis, which essentially helps to enhance the overall IT operations and reduce the downtime and MTTR.
| Product | Mindshare (%) |
|---|---|
| ServiceNow IT Operations Management | 1.2% |
| Elastic Observability | 1.4% |
| Other | 97.4% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 6 |
| Large Enterprise | 29 |
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?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.
ServiceNow IT Operations Management offers a scalable platform for managing IT infrastructure with features like discovery, dashboards, and service mapping. Ideal for incident, change, and problem management, it enhances operational efficiency and reduces IT service downtime.
ServiceNow IT Operations Management provides comprehensive solutions for consolidating events, automating workflows, and monitoring IT systems. Users utilize it for managing ticketing systems and conducting impact analysis through service mapping. The platform supports integrations with other modules, boosting efficiency with its intuitive interface. While highly functional, improvements in interface design and pricing are necessary, especially in integration with non-IP devices and cloud providers. Enhanced AI, machine learning, and discovery and monitoring functions are also needed.
What are the most important features?IT Operations Management by ServiceNow is widely implemented across industries like finance, healthcare, and manufacturing to optimize IT processes, enhance monitoring, and streamline infrastructure management. It is particularly effective in automating workflows and improving service reliability.
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