BMC TrueSight and Elastic Observability compete in the field of IT monitoring solutions. While both have strong capabilities, BMC TrueSight stands out for its integration and event management efficiencies, whereas Elastic Observability excels in customization and real-time analytics through its machine learning features.
Features: BMC TrueSight offers comprehensive monitoring integration, effective event management, and prompt setup facilitation. Elastic Observability is valued for its log analytics, vast customization options, and powerful machine learning capabilities, enabling real-time data visualization and processing.
Room for Improvement: BMC TrueSight faces challenges with complex deployment, high resource requirements, and limited customization. Its cloud monitoring stability and reporting features need enhancement. Elastic Observability is criticized for its pricing model complexity, limited automation, and insufficient predefined dashboards. Users also request better asset discovery and improved APM functions.
Ease of Deployment and Customer Service: BMC TrueSight is mainly deployed on-premises and is appreciated for high-quality support but requires improved technical support consistency. Elastic Observability offers more flexible deployment options, including public cloud and hybrid, but requires users to navigate a steep learning curve.
Pricing and ROI: BMC TrueSight is considered costly but delivers ROI through labor savings and reduced false alerts. Elastic Observability's pricing varies and is usage-dependent, offering cost-effectiveness in large-scale deployments, presenting ROI through diverse cost structures and efficiencies.
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.
I would rate their technical support a nine out of ten.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
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.
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.
There are some complexities with deployment that could be improved in BMC TrueSight.
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.
BMC TrueSight licensing costs are on the more expensive side.
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.
Automated root cause analysis and predictive capabilities are powerful features that assist in resource utilization and capacity planning.
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.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.8% |
| BMC TrueSight | 1.4% |
| Other | 96.8% |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 6 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
BMC TrueSight offers extensive event management and seamless integration, providing comprehensive monitoring across varied infrastructures through its centralized console and Knowledge Modules.
BMC TrueSight delivers robust event management capabilities with seamless integration and comprehensive monitoring of diverse infrastructures. Its single console simplifies management, offering automated triage for standardized alerts, enhancing efficiency. Knowledge Modules support services from hardware to cloud, while proactive monitoring and capacity optimization enhance customization. It efficiently supports mixed environments by providing detailed insights and intelligently routing alerts to reduce noise. While improvements are needed in deployment, integration, AI, automation, reporting, and complexity reduction, it still meets diverse operational needs effectively.
What are BMC TrueSight's key features?
What benefits and ROI should users seek in BMC TrueSight?
BMC TrueSight is widely used in performance and availability monitoring for infrastructure and applications, supporting the monitoring of servers, databases, networks, and IT environments. It is implemented to improve management and reduce downtime, serving needs in data centers and cloud services. Organizations leverage it for event management, comprehensive data center monitoring, and cloud services, using its capabilities for alerting, ticket creation, troubleshooting, and compliance, enhancing operational efficiency globally.
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.
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