LogicMonitor and Elastic Observability compete in the observability and monitoring category. LogicMonitor seems to have the upper hand due to its superior customer support and agile deployment capabilities.
Features: LogicMonitor provides robust dashboards that enable easy data visualization and interaction. Fast configuration and customization options with LogicModules offer flexibility. Granular alert tuning and dynamic dashboards make it ideal for large environments. Elastic Observability integrates logging, search, and monitoring for a comprehensive platform. Its search and visualization capabilities, especially with Kibana, are notable, providing real-time visibility and enhanced data interaction.
Room for Improvement: LogicMonitor needs to enhance its reporting features, which lack customization and ease of use. Better dashboard customization and third-party alert system integration are also necessary. Elastic Observability should improve its APM capabilities and address its steep learning curve. There's a need for better automation and advanced metrics visualization.
Ease of Deployment and Customer Service: LogicMonitor supports deployment across public cloud, on-premises, and hybrid environments. Its customer service is noted for being fast and effective, with a knowledgeable support team. Elastic Observability mainly deploys on-premises but is also available in public and hybrid clouds. However, it lacks support, especially for customization.
Pricing and ROI: LogicMonitor is a premium solution with competitive pricing that scales with feature usage, delivering good value for its extensive functionality. Users report significant ROI through cost savings and reduced downtime. Elastic Observability is more affordable for large operations but can be expensive for smaller users. Its pricing model, based on data volume and infrastructure, might not offer the needed flexibility for diverse requirements.
Elastic support really struggles in complex situations to resolve issues.
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.
What is not scalable for us is not on Elastic's side.
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.
Elastic Observability is really stable.
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.
They don't invest a lot in building out-of-the-box observable use cases, and they are more focusing on giving a very flexible environment for customization.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
This is a part of the hidden cost that the customer understands.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
the most valued feature of Elastic is its log analytics capabilities.
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.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 2.9% |
| LogicMonitor | 2.1% |
| Other | 95.0% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 9 |
| Large Enterprise | 8 |
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.
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
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