Datadog and OpsRamp compete in the cloud monitoring and management category. Datadog appears to have the upper hand due to its extensive features and integrations, enhancing user experience.
Features: Datadog offers hosted monitoring that eliminates infrastructure reliance, extensive integration capabilities with platforms like AWS, and user-friendly dashboards for intuitive data visualization. OpsRamp excels with AIOps features, event correlation, and personalized dashboards, focusing on a centralized monitoring approach but lacks Datadog's public cloud integration and feature range.
Room for Improvement: Datadog users mention complex cost structures and real-time insights, requiring better customization in monitoring and reporting. Challenges include inconsistent APIs and missing features like PHP profiling. OpsRamp, while strong in AIOps, needs improvements in process automation, dashboard customization, and stability aspects such as false alerting. Aiming to expand application monitoring, it currently falls short of Datadog's features.
Ease of Deployment and Customer Service: Datadog supports private, public, and hybrid clouds offering strong customer and technical support; however, response times can vary. Known for exceptional setup support, it provides real-time assistance. OpsRamp primarily supports public and hybrid environments, recognized for quick deployment and cost-effectiveness, but customer support can be inconsistent compared to Datadog’s detailed guidance.
Pricing and ROI: Datadog is often seen as high-priced with a complex model potentially increasing costs, though the ROI is acknowledged in reduced downtime and quick resolutions. Customers value flexibility but caution monitoring costs closely. OpsRamp provides a straightforward licensing model based on resource count, seen as cost-effective and generally more economical, offering clear value without frequent billing surprises.
It is important to stick with available features and provide customers with clear, precise details about what can and cannot be done to avoid anomalies.
I find the licensing model convenient and clear enough, and I have seen a return on investment with OpsRamp.
Having a dedicated firefighter team for each MSP would be beneficial.
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.
Technical support should be improved.
The setup cost for Datadog is more than $100.
it does not strike me as expensive, and the licensing model is clear enough.
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.
I have utilized OpsRamp's capability for predictive analytics, and it has been important in fostering collaboration between my IT and development teams under DevOps methodologies, where applicable.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
OpsRamp is a leading cloud-based digital IT operations management platform. The solution allows your organization to leverage hybrid observability, process automation, and machine learning to modernize IT operations. OpsRamp can handle the speed, scope, and scale of modern IT and can help you drive productivity and business value. In addition, it can help your business manage, monitor, and consolidate your point tools and applications.
OpsRamp Features
OpsRamp has many valuable key features. Some of the most useful ones include:
OpsRamp Benefits
There are many benefits to implementing OpsRamp. Some of the biggest advantages the solution offers include:
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