Datadog and Huawei eSight compete in the monitoring solutions market, focusing on cloud-based and device-centric monitoring respectively. Datadog seems to have the upper hand due to its comprehensive feature set and integrations with multiple platforms, offering versatility beyond Huawei's ecosystem.
Features: Datadog offers hosted services, sharable dashboards, and rich APIs, simplifying the monitoring process for diverse users. It supports technical and non-technical users alike, offering seamless integration with third-party systems like Amazon ECS and Docker. Conversely, Huawei eSight specializes in managing Huawei devices, providing network traffic analysis and system management primarily tailored for Huawei environments.
Room for Improvement: For Datadog, handling large data sets more efficiently, offering more granular dashboard controls, and better cost management feature prominently in user feedback. Users also wish for improved API consistency and error traceability. Huawei eSight, meanwhile, could improve through better integration with non-Huawei products, a simplified user interface, and enhanced reporting and automation capabilities to compete with other solutions like Cisco.
Ease of Deployment and Customer Service: Datadog is praised for its flexible deployment options across different cloud configurations with generally responsive customer support, though there are occasional regional delays. Huawei eSight is mostly deployed on-premises and is noted for proactive and thorough customer service, but sometimes faces delays similar to Datadog's support in certain regions.
Pricing and ROI: Datadog is considered expensive, a reflection of its wide-ranging functionalities, with strong ROI benefits seen in developer time savings and improved monitoring capabilities. Huawei eSight is more competitively priced, especially against competitors like Cisco, offering good value within its specific scope, though ROI perceptions are limited to Huawei device environments.
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.
Huawei's eSight is a unified software suite for planning, operating, and maintaining complex enterprise ICT infrastructure from global, converged networks and data centers to multimedia and video communications that includes the facilities necessary for delivering performance and IT services. eSight provides a platform that supports infrastructure and devices from third-party providers, to develop custom management applications and improves O&M efficiency.
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