BMC TrueSight and Datadog are major contenders in the IT monitoring solutions category, each bringing distinct capabilities to the table. BMC TrueSight edges ahead with its robust integrated platform and event management strengths, while Datadog holds an advantage with ease of use in dynamic cloud environments through its advanced analytics.
Features: BMC TrueSight's comprehensive integrated platform enables robust event management and service management across hardware, OS, and cloud layers with features like a single console and enhanced root cause analysis. Its knowledge modules support application and infrastructure views, easing cross-launch between multiple tools. Datadog stands out with its intuitive dashboard creation and alerting system, supporting real-time metric visualization and numerous integrations. It emphasizes advanced analytics and anomaly detection, which is ideal for modern IT operations.
Room for Improvement: BMC TrueSight faces challenges due to its high complexity, extensive resource requirements, and high cost. Users look for more out-of-the-box features, improved AI, and streamlined reporting. Datadog, while user-friendly, struggles with its complex pricing, and users seek improvement in log management and cost predictability. Integration of additional metrics and AI-driven functionalities is also desired for both products to better meet diverse customer requirements.
Ease of Deployment and Customer Service: BMC TrueSight primarily requires on-premises operation which entails significant setup, but offers strong customer service with occasional delays. In contrast, Datadog provides flexible deployment across private, public, and hybrid clouds, supporting rapid deployment. While its customer support is commendable, users express a need for more intuitive self-help resources and better guides for new features. Both benefit from good account management and customer service continuity.
Pricing and ROI: BMC TrueSight is a premium-priced solution that can be cost-prohibitive for smaller organizations due to its pricing on monitored endpoints and knowledge modules, despite its potential in reducing IT operation costs. Datadog offers a flexible usage-based model, which, although expensive, can be managed cost-effectively for significant ROI by improving system visibility and reducing troubleshooting time. Hidden costs remain a concern, with both solutions' value relying heavily on careful planning and resource management.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
I would rate their technical support a nine out of ten.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
There are some complexities with deployment that could be improved in BMC TrueSight.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
BMC TrueSight licensing costs are on the more expensive side.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
Automated root cause analysis and predictive capabilities are powerful features that assist in resource utilization and capacity planning.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
| Product | Market Share (%) |
|---|---|
| Datadog | 6.7% |
| BMC TrueSight | 1.3% |
| Other | 92.0% |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 6 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
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.
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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