Datadog and CrowdStrike Observability are two prominent products in the observability market. Users expressed higher satisfaction with CrowdStrike's features, although Datadog's pricing and support received more favorable reviews. Despite this, CrowdStrike’s features seem to offer a superior value proposition.
Features:Datadog users highlighted the platform's extensive monitoring capabilities, real-time alerts, and easy setup as valuable features. CrowdStrike Observability users were particularly impressed by its comprehensive threat detection, high performance, and advanced analytics.
Room for Improvement:Datadog users mentioned the need for a more intuitive configuration, better data visualization, and improved documentation. CrowdStrike Observability users suggested enhancements in integration with third-party tools, more flexible reporting, and a more intuitive UI.
Ease of Deployment and Customer Service:Datadog deployment is praised for being straightforward with responsive customer support. CrowdStrike Observability users found the deployment seamless but reported occasional delays in customer service response.
Pricing and ROI:Datadog users reported lower setup costs but mixed feelings about the long-term ROI. CrowdStrike Observability users indicated higher initial costs but believed the ROI justified the expense due to superior features.
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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.
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