Datadog and ManageEngine Log360 compete in the monitoring and log management category. Datadog appears to have the upper hand due to its ease of setup and comprehensive features such as real-time analytics and multiple integrations, making it suitable for complex environments and large deployments.
Features:Datadog offers key features like hosted solutions, sharable dashboards, and extensive integrations, making it easy for users to derive insights through intuitive monitoring actions and visualization of metrics. It is recognized for AWS integrations and anomaly detection. ManageEngine Log360 provides a straightforward setup and basic monitoring capabilities with essential security management, ideal for organizations seeking an affordable solution.
Room for Improvement:Datadog requires improvements in pricing and cost management, flexibility in customization, and query capabilities. Users have also requested better visibility into usage to avoid unexpected expenses. ManageEngine Log360 could enhance data retention and user interface simplicity, and provide more detailed setup documentation to improve user experience and streamline deployment processes.
Ease of Deployment and Customer Service:Datadog is known for flexible deployment across various cloud environments, providing quality technical support despite variable response times. ManageEngine Log360 primarily supports on-premises deployment, with users noting effective initial support but suggesting enhancements in technical support efficiency and responsiveness.
Pricing and ROI:Datadog's pricing model offers flexibility but may become costly if not managed carefully. Many users find its extensive features to contribute significantly to ROI by reducing downtime and improving operational efficiency. ManageEngine Log360 is generally more affordable with a fixed price model, catering to budget-conscious organizations while delivering core functionalities. Both solutions offer valuable returns, though Datadog users might face higher initial costs, justified by its comprehensive capabilities and integrations.
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.
Log360 is your one-stop solution for all log management and network security challenges. It is an integrated solution that combines EventLog Analyzer and ADAudit Plus into a single console to help you manage your Active Directory auditing and network security easily.
We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.