Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
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.
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Save money by identifying problems, thereby reducing monetary losses on their application side.
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.
They literally taught me what to do.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
Datadog's scalability has been great as it has been able to grow with our needs.
Since it is a SaaS platform, we did not have to worry about backend scaling.
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
Metrics collection and alerting have been consistent in day-to-day use.
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.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
There have been no stability issues with Dynatrace.
Dynatrace is a SaaS product with frequent agent management updates.
If we could receive similar data for the China market as we do for North America and Asia Pacific, this would be helpful.
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.
Having more transparent and granular cost control features would make it easier to manage usage.
The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
Dynatrace could enhance cost and licensing structures, as the current pricing can be expensive for large-scale deployments.
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
The setup cost for Datadog is more than $100.
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
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.
Dynatrace is known to be costly, which delayed its integration into our system.
If setting up in a large scale environment, it is overwhelming because it is expensive.
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
The scatter plot is very useful. It shows red dots wherever there are issues.
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.
The integration with Power BI for generating detailed reports is a standout feature.
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
Dynatrace links compute with services and services with code and other components.
| Product | Mindshare (%) |
|---|---|
| Datadog | 4.7% |
| Dynatrace | 5.5% |
| Catchpoint | 0.9% |
| Other | 88.9% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 48 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 50 |
| Large Enterprise | 300 |
Catchpoint is a robust monitoring solution offering synthetic and real user monitoring, network performance analysis, and root cause identification. It enhances response times, reduces downtime, and improves user experience through advanced features and support.
Catchpoint provides comprehensive monitoring capabilities that ensure application availability and improve user experience. By delivering synthetic and real user monitoring, API tracking, and cloud network performance insights, it enables companies to diagnose issues, maintain service reliability, and anticipate problems. Organizations can effectively simulate user actions, monitor endpoints, and obtain actionable insights for diverse applications and websites, supporting seamless digital transactions.
What are the key features of Catchpoint?Catchpoint is implemented across industries for proactive performance monitoring, ensuring digital platform reliability and superior user experience. Its tools enable companies to track application availability and network performance, utilizing global coverage to deliver crucial insights for decision-making processes.
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.
Dynatrace offers AI-driven root cause analysis, full-stack observability, and more. Its seamless integration and automated alerts enhance operational efficiency for application performance monitoring across diverse environments.
Dynatrace provides users with comprehensive tools for proactive monitoring, leveraging AI-powered insights to detect bottlenecks and monitor user behavior. It enhances system dependency visualization via Smartscape and offers deep transaction insights through PurePath. Session Replay captures real user experiences, while custom dashboards emphasize essential metrics. Integration capabilities and seamless deployment are key, though users face challenges with navigation, integration, and licensing. Enhancing third-party training tools and optimizing real-time AI diagnostics is desired, with demands for better database monitoring reports and simpler UI.
What are Dynatrace's key features?Dynatrace is implemented in industries like finance for monitoring infrastructure and user experience. In manufacturing, it helps ensure system reliability. Its AI-driven approach is crucial for cloud deployments, supporting performance optimization and proactive monitoring.
