LogRhythm SIEM and Elastic Observability are key competitors in IT monitoring. Elastic Observability often has an advantage due to its robust features, justifying its higher costs.
Features: LogRhythm provides comprehensive security analytics, incident response, and reliable support options. Elastic Observability offers versatile data analytics, adaptability across environments, and advanced features that cater to intricate monitoring tasks.
Room for Improvement: LogRhythm would benefit from updates for performance and better integration options. Elastic Observability faces challenges with achieving optimal customization and needs more comprehensive user documentation. Both products can improve user satisfaction through targeted enhancements.
Ease of Deployment and Customer Service: LogRhythm offers a straightforward deployment process and reliable support. Elastic Observability delivers a flexible deployment model with mixed feedback on support quality, affecting user experiences despite its flexibility.
Pricing and ROI: LogRhythm is attractive to cost-conscious buyers with lower setup costs. Elastic Observability provides strong ROI, making its higher price worthwhile for its enhanced capabilities, as reflected in user reviews.
Customer support is very helpful and effectively solves my problems.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
LogRhythm SIEM is highly scalable as it has modular components allowing me to expand storage, indexing, or other resources as needed.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
The platform needs regular updates to fix problems encountered with each quarterly patch and version release.
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.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
A more user-friendly user interface with drag-and-drop features, similar to key competitors like Splunk, would be beneficial.
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 license cost is around $10 per MPS.
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 seamless integration for case management, along with a user-friendly dashboard user interface, makes tasks like threat hunting more efficient.
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.
LogRhythm SIEM Platform is an award-winning platform in security analytics. With more than 4,000 customers globally, LogRhythm SIEM is an integrated platform that helps security operations teams protect critical infrastructure and information from emerging cyberthreats. Ultimately, LogRhythm SIEM is an integrated set of modules that contribute to the security team’s fundamental mission: rapid threat monitoring, threat detection, threat investigation, and threat neutralization. LogRhythm SIEM is for organizations that require an on-premises solution and offers:
● Streamlined workflow
● Secure data access
● Real-time visibility
● A unified user experience
● Management customization
Security information and event management (SIEM) solutions have been evolving for over a decade; their core functionality still acts as the most effective foundation for any organization’s technology stack. A SIEM solution enables an organization to centrally collect data across its entire network environment to gain real-time visibility into activity that may pose a risk to the organization. SIEM technology addresses threats before they become significant financial risks while simultaneously helping better manage an organization’s assets.
LogRhythm SIEM has many key features and capabilities, including:
● High-Performance Log Management: LogRhythm SIEM offers structured and unstructured search capabilities which allows users to swiftly search across an organization’s vast data to easily find answers, identify IT and security issues, and troubleshoot issues. Users can efficiently process and index terabytes of log data daily.
● Network and Endpoint Monitoring: Forensic sensors allow users to gain deep visibility into endpoint and network activity. Users can see behavioral anomalies and better respond to incidents.
● SmartResponse™ Automation: LogRhythm SIEM allows users to centrally execute pre-staged actions that automate incident investigatory tasks and responses.
● Automated Machine Analytics: LogRhythm SIEM's AI Engine continuously analyzes all collected security incidents and forensic data. Security teams are delivered precise, real-time intelligence about risk-prioritized threats.
● Case and Security Incident Management: LogRhythm SIEM offers an integrated workflow so that threats don’t slip through the cracks. Collaboration tools help centrally manage and track investigations.
● User and entity behavior analytics (UEBA): Embedded deterministic UEBA monitoring helps protect against insider threats.
● Security orchestration, automation, and response (SOAR): LogRhythm SIEM includes our embedded SOAR solution to increase efficiency and higher-quality incident response with low mean time to response (MTTR).
Benefits to Using LogRhythm SIEM
● The platform offers great value to security and IT operations. Users have the ability to map their security and IT operations to existing frameworks such as NIST and MITRE ATT&CK.
● The platform offers broad integration across security and IT vendors: Users benefit from support for integration with hundreds of security and IT solutions. In turn, this further extends SIEM capabilities and data collection.
● The platform provides compliance adherence, enforcement, and reporting: The prebuilt compliance modules automatically detect violations as they occur and remove the burden of manually reviewing audit logs.
Reviews from Real Users
LogRhythm SIEM stands out among its competitors for a number of reasons. Two major ones are its ability to be customized and its quick performance of queries.
Jason G., a senior cybersecurity engineer, writes, "I have found the Advanced Intelligence Engine has provided the most value to us because we can customize alarms based on our requirements and have created hundreds of alarms that notify different people for different scenarios."
Andy W., principal consultant at ITSEC Asia, notes, “LogRhythm SIEM covers all our primary security analysis needs. It makes it easier for us to analyze threats and improves our response times. It's a versatile platform that performs queries fast compared to other SIEM solutions.”
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