

Datadog and ControlUp are competitors in the cloud-based monitoring and performance management arena. Datadog appears to have the upper hand due to its robust integration capabilities and flexibility across cloud environments, which is critical for scalable applications.
Features: Datadog is renowned for its extensive logging capabilities and synthetic monitoring, along with infrastructure insights that provide real-time performance perspectives. Its flexibility across various cloud platforms makes it apt for scalable applications, supporting custom metrics to enhance visibility and troubleshooting. ControlUp excels in endpoint monitoring, providing real-time performance and trend insights that enhance user-level visibility. Its use of script arrays allows for improved operational efficiency and a more intuitive approach to system management tasks.
Room for Improvement: Datadog’s documentation needs more examples and better indexing. Users experience querying complexity and challenges with the cost structure. The interface also experiences elements of slowness. ControlUp requires upgrades in network monitoring and alert setups. Its frequent UI updates occasionally complicate user experience and locating functions. There's a desire for enhanced reporting and network infrastructure monitoring.
Ease of Deployment and Customer Service: Datadog offers straightforward deployment with cloud integration but demands active feature management. Although its customer service is proactive in assisting metric configuration, response consistency varies. ControlUp provides effortless deployment across various cloud environments, featuring a central dashboard for easy system administration. Users, however, wish for clearer pricing and a smoother support experience.
Pricing and ROI: Datadog is perceived as costly due to its complex pricing model, though it offers high ROI for extensive monitoring needs. This provides critical insights for operational efficiency. Conversely, ControlUp is competitively priced, featuring a straightforward pricing structure that users appreciate for its value, particularly with effective endpoint monitoring capabilities.
This is having a 24/7 junior admin who's really smart, always there, always doing work, but you have to consume his work.
Basically, what we were targeting is the response time of the virtual environment.
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 was quite happy to work with ControlUp because the support is excellent.
Basically, if I could take everything that you do, put it in a tool, and hand you that tool so you don't have to repeat your efforts, then you would be able to make good use of it.
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.
It scales very well; you just have to tell it what you're doing and size it for what you're asking.
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.
There is area for improvement, maybe in the reporting.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
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.
It is expensive.
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.
Everything works exactly the way it's meant to, a dream come true for anyone who's administering systems because it gives you all the information that you want and all the actions you want to take, all in one place.
It's not only monitoring, but it's also detecting, and it could even fix problems with a lot of automation that you can put in place to fix problems automatically before you even detect them.
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 | 4.8% |
| ControlUp | 1.1% |
| Other | 94.1% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 95 |
ControlUp is a digital experience monitoring management platform that makes it possible for IT teams to deliver a work-from-anywhere experience for employees. The solution makes fixing and preventing issues easy, enabling IT teams to make smarter decisions. It also provides monitoring performance, availability, and useful productivity metrics.
The ControlUp platform supports:
ControlUp Features
ControlUp has many valuable key features. Some of the most useful ones include:
ControlUp Benefits
There are many benefits to implementing ControlUp. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the ControlUp solution.
A Chair, IEEE Consumer Technology Society - Dallas,Texas, USA at a non-profit says, “In terms of the public cloud, ControlUp's features make us feel very secure. Security, uptime, and reduced capital expenditures are the main reasons we use ControlUp. So basically, the money that we consume is based on the amount of time we are using a service. ControlUp offers a return-on-investment type of approach that helps us.”
A VP Virtualisation and Citrix Engineer at BlackRock mentions, “Solve is quickly becoming one of the most-used features. Its interface allows us to connect to all 54,000 monitored endpoints in real-time. The script-based actions have allowed us to extend the core reporting capabilities. Combined with the triggers, we have been growing their usage to fix things before they become an issue. Lastly, the controller view allows us to compare the configurations of settings side-by-side which is extremely helpful when tracking down the RCA of an issue.”
A Senior Citrix Remote Access Engineer at Rabobank comments, “The high-level view of the estate coupled with powerful administration tools has been great. We can see real-time performance and trends and can create triggers for common issues with associated scripts that can automate a lot of the previous manual remediation steps.”
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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