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 Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
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.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
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.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
LogicMonitor provides infrastructure and network monitoring, alerting, and reporting across environments like AWS, Azure, and on-premises.
LogicMonitor aids businesses and managed service providers in maintaining system health, performance, and availability. It supports various technologies including Citrix, Cisco Voice systems, operating systems, virtual machines, and network devices. Businesses benefit from dashboards and data insights for proactive management, customizable data sources, and integration with third-party applications like Slack or ServiceNow. AI technology enhances monitoring capabilities by recognizing normal behavior and updating monitored elements, while multiple monitoring features consolidate data sources into one interface.
What are LogicMonitor's key features?
What benefits or ROI should users expect?
LogicMonitor is utilized across diverse industries by managed service providers to ensure seamless monitoring and management of clients' systems. This includes application performance monitoring, manual topology mapping, SLA calculations, and improvement of role-based permissions. Companies also seek enhanced resources view, better collector upgrade processes, and streamlined customization for monitoring from the repository.
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