Datadog and ManageEngine Log360 compete in the monitoring and security enhancement software category. Datadog appears to have the upper hand due to its extensive integrations and user-friendly dashboard, though ManageEngine Log360 offers robust security features.
Features: Datadog integrates extensively with platforms like AWS and Docker, offering a visual dashboard and ease for non-technical users. It supports diverse monitoring tools for infrastructure and application metrics. ManageEngine Log360 focuses on security enhancements, real-time capabilities, and file integration monitoring for efficient security management.
Room for Improvement: Datadog requires more real-time usage insights and greater consistency in API features, with users seeking better cost transparency and simpler query language customization. ManageEngine Log360 could improve data retention, report specificity, and speed. Users also suggest better integration capabilities and more intuitive training materials.
Ease of Deployment and Customer Service: Datadog is adaptable across private, public, and hybrid cloud environments, with generally reliable customer support, though some users report responsiveness issues. ManageEngine Log360 is primarily on-premises, with some hybrid use, and is noted for strong customer service, albeit with slower responses for complex inquiries.
Pricing and ROI: Datadog's pricing structure is flexible but complex, potentially leading to unexpected costs due to usage levels and additional features. ManageEngine Log360 is more affordable on a subscription model but can be expensive relative to certain alternatives. Datadog users highlight the product's comprehensive capabilities for operational gains, while Log360 users value its streamlined security management.
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.
The setup cost for Datadog is more than $100.
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.
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.
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