BMC TrueSight and Datadog are key players in the IT monitoring and event management category. While both offer robust features, Datadog may have a slight advantage due to its strong cloud integration and user-friendly interface, catering particularly well to development teams.
Features: BMC TrueSight provides robust event management and integrates seamlessly with other tools, serving as a manager of managers. It supports diverse asset monitoring and consolidates alerts effectively. Datadog excels in cloud service integration, especially in public cloud environments, and offers flexible API and infrastructure monitoring. Its real-time user monitoring and session analytics make it favorable for development teams.
Room for Improvement: BMC TrueSight users cite complexity and high pricing as concerns. Improvements in cloud monitoring stability and reporting are needed. Datadog's pricing transparency and cost control are critiqued, with users also desiring more pre-configured alerts and better integration options. There's a call for clearer understanding of its pricing model and improvements in on-premise support.
Ease of Deployment and Customer Service: BMC TrueSight's on-premise deployment is considered complex and resource-intensive but is supported by generally well-rated technical support, albeit with variable response times. Datadog, with its cloud-native deployment, offers ease in scaling and flexible public and hybrid cloud environments. Its customer service is highly rated, though some users find navigating its extensive features complex.
Pricing and ROI: BMC TrueSight is regarded as expensive, with costs escalating due to endpoint and resource-based licensing. Its ROI is primarily seen in IT operations cost reductions. Datadog, while pricey for smaller organizations, offers a flexible pay-as-you-use model, easier to manage if expenses are monitored actively. Its ROI includes rapid deployment and improved observability, contributing to operational efficiency.
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.
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.
These incidents are related to log service, indexes, and metric capturing issues.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The AI aspect would be great where we would not need to go and look at different transactions or different modules of Datadog, as AI can actually provide the data to us on Datadog UI.
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.
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 | 8.5% |
BMC TrueSight | 1.0% |
Other | 90.5% |
Company Size | Count |
---|---|
Small Business | 23 |
Midsize Enterprise | 6 |
Large Enterprise | 24 |
Company Size | Count |
---|---|
Small Business | 80 |
Midsize Enterprise | 46 |
Large Enterprise | 94 |
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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