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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Elastic Observability is really stable.
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.
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.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
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.
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.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.5% |
| BMC TrueSight | 1.7% |
| 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 provides comprehensive IT infrastructure monitoring with capabilities like integration, dashboard presentation, and proactive event management. It offers quick implementation and rich reporting, enhancing operational efficiency and service management across different technology environments.
BMC TrueSight offers a single-pane view, data visualization, predictive analysis, and Knowledge Modules for monitoring infrastructure, applications, and servers. It integrates with systems to manage networks, cloud services, databases, and operating systems, reducing troubleshooting and enabling automated maintenance. TrueSight's proactive monitoring and performance management across Microsoft and Linux platforms make it invaluable for asset tracking and service context monitoring.
What are the key features of BMC TrueSight?In the finance sector, BMC TrueSight is used for monitoring complex network infrastructures to ensure high availability. Healthcare organizations rely on it for maintaining critical system uptime, assisting in regulatory compliance. Retail companies utilize it to oversee diverse platforms, ensuring seamless operation across supply chain and customer service networks.
Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
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