ManageEngine OpManager and Datadog are key competitors in the network and device monitoring category. Datadog has the upper hand due to its strong integration capabilities and real-time monitoring features.
Features: ManageEngine OpManager offers extensive network and device monitoring capabilities, strong alerting and reporting, and integration of various monitoring types into a single product. Datadog excels in integration capabilities, real-time monitoring, and enabling the easy creation of custom dashboards and alerts.
Room for Improvement: ManageEngine OpManager needs enhancements in support, user interface, and AI functionality. Datadog could improve by refining cost structures, simplifying billing transparency, and expanding feature integrations.
Ease of Deployment and Customer Service: ManageEngine OpManager is mainly deployed on-premises, with users appreciating its technical support yet noting deployment complexity and support responsiveness issues. Datadog offers flexible deployment across hybrid and public cloud environments and is praised for excellent customer service, though users desire more direct assistance options.
Pricing and ROI: ManageEngine OpManager is cost-efficient compared to alternatives but has a complex licensing model, offering reduced administrative requirements. Datadog's pricing is considered higher, with complexity and fluctuating costs noted, but is justified by its robust monitoring solutions, reducing detection and correction times.
However, from a sales perspective, it's very challenging for the initial sale, and even renewals are tough when it comes to the price point.
I would give nine points out of ten for ManageEngine OpManager's technical support.
The rating for support would be six out of ten for ManageEngine OpManager.
More support is needed, especially on weekends.
Scalability is needed more in automation and AI functionalities.
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 documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
If identifying the interface was easier, it would take less time to configure.
There is a call for ManageEngine OpManager to scale better in automation and AI functionality.
Improving the after-sales support and learning materials for local engineers and partners to enhance their capacities and expertise.
The setup cost for Datadog is more than $100.
The cost is quite high-end for ManageEngine OpManager, especially in our very price-sensitive market here in Sri Lanka.
Pricing for ManageEngine OpManager is good and negotiable with the distributor;
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.
The technology itself is generally very useful.
The automated reporting back, which includes identifying the top list and trends, as well as session monitoring from the end user to server through routers and firewalls, provides exact issue notifications for network problems.
The biggest benefit of ManageEngine OpManager for our customers is centrally managing the users and assets of an organization, along with link management, bandwidth management, and similar functionalities.
The dashboard is unique and user-friendly.
Product | Market Share (%) |
---|---|
Datadog | 3.1% |
ManageEngine OpManager | 1.5% |
Other | 95.4% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 16 |
Midsize Enterprise | 15 |
Large Enterprise | 27 |
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.
ManageEngine OpManager is a network, server, and virtualization monitoring software that helps SMEs, large enterprises and service providers manage their data centers and IT infrastructure efficiently and cost effectively. Automated workflows, intelligent alerting engines, configurable discovery rules, and extendable templates enable IT teams to setup a 24x7 monitoring system within hours of installation.
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