

Datadog and LogicMonitor are competitors in the IT monitoring and management space. Datadog seems to have the upper hand due to its broader AI-driven monitoring capabilities and seamless ecosystem integrations, although LogicMonitor excels in ease of use and customer satisfaction with its efficient alert systems.
Features: Datadog offers extensive log management, application performance monitoring, and infrastructure monitoring with a rich set of out-of-the-box features and robust integrations, which are praised for their flexibility and ease of deployment. In contrast, LogicMonitor stands out for its efficient alert system, customizable dashboards, and robust integration options with products like Cisco and Google Maps, providing an alternative set of strengths alongside Datadog's wider range of monitoring capabilities.
Room For Improvement: Datadog users highlight areas for improvement such as more flexible and predictable pricing models, enhancing AI features, and a more user-friendly interface. LogicMonitor could improve on reporting capabilities and further enhance dashboard customization, despite being praised for its simple license structures and responsive alerts. Both platforms could benefit from enhanced user interfaces and more tailored feature sets.
Ease of Deployment and Customer Service: Datadog offers versatile deployment options across various cloud environments and is known for responsive customer service, although it can sometimes face issues with deployment complexity and support. LogicMonitor provides simpler licensing structures and benefits from consistent ease of use and customer support satisfaction, making it slightly more favorable in this category according to user reviews.
Pricing and ROI: Datadog's module-based pricing is flexible but can quickly become costly based on usage, with a need for careful cost management. LogicMonitor is competitively priced with straightforward licensing per device, praised for its predictable cost structure. Both products reportedly deliver positive ROI by saving time on monitoring tasks, but LogicMonitor is noted for easier cost scaling and better long-term investment value.
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.
The return is more of value and savings in preventing costly downtime, making the savings of about $60,000 which we would have lost without LogicMonitor, and in IT staff efficiency, we save approximately 15 hours a week.
Because of LogicMonitor, we have reduced our EC2 infrastructure significantly, which has helped us reduce costs by 20%.
I can definitely notice a difference in our posture, uptime, and ability to solve problems and resolve outages much quicker since we have had LogicMonitor in place.
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.
Customer support is on point and very well trained.
We need to be able to reach them in real-time, and without those kinds of options available, we have to set up ad hoc calls, which could be improved.
I can send emails to them and they will reply within 24 hours.
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.
They are not licensed, so you could deploy one collector or 1,000 collectors for the same cost.
LogicMonitor's scalability absolutely meets our organization's growth needs.
LogicMonitor is pretty good at scaling things when it comes to monitoring AWS infrastructure because I can see that it scales very well for us.
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.
The platform is reliable, alerts are consistent, and once collectors and integrations are in place, monitoring runs smoothly with minimal disruption.
It is very stable. I have never seen LogicMonitor itself go down.
Since we implemented LogicMonitor and got it working in production, there has been no downtime, no reliability issues, and nothing major regarding flare-ups from LogicMonitor's perspective.
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.
I would also appreciate a stronger out-of-the-box AWS correlation, such as automatically grouping related issues across EC2, EBS, and ALBs in a way that reads as a single incident story.
I wish the user interface would be customizable to allow users to create personal context-specific workspaces to hide irrelevant data, rather than trying to have a one-size-fits-all interface.
The container monitoring seems to be really behind compared to some bespoke cloud-native monitoring solutions that are designed around Kubernetes, containers, and ephemeral environments.
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.
I experienced no issues with pricing, setup cost, and licensing; it was very transparent, and the licensing model is very clear and easy to understand.
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 dynamic alerting and root cause analysis have helped us fix issues before they cause a full-blown outage or degrade performance for end users.
Our SLAs and SLOs were averaging about 10 to 15 failed SLAs and SLOs that were over the time allotted to get those resolved, and those are now down to about two to three per week.
When talking about the statistics, it has helped us reduce downtime to about 40 to 50% because without LogicMonitor, we used to know about the downtime only when the application was actually down.
| Product | Market Share (%) |
|---|---|
| Datadog | 4.1% |
| LogicMonitor | 2.0% |
| Other | 93.9% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 98 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 11 |
| Large Enterprise | 11 |
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.
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
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