ExtraHop Reveal(x) for IT Operations and Datadog compete in network monitoring and IT operations. Datadog appears to have the upper hand due to its extensive feature set despite cost considerations.
Features: ExtraHop Reveal(x) offers real-time threat detection and deep network traffic insights, often used for analyzing unstructured data and focusing on L2-L7 metrics. Its Layer 7 application level analysis, including SSL and CIFS usage, aids in security and operational analytics. Datadog provides comprehensive monitoring across infrastructure with strong metrics, visualization tools, and integration capabilities, suitable for managing AWS accounts and cloud provider integrations. Its ease of use in building dashboards and its seamless integration make Datadog particularly appealing.
Room for Improvement: ExtraHop Reveal(x) could enhance its short-term ROI by providing more cost-effective solutions and expanding its use cases beyond networking. Improved insights into protocol analysis would also increase value. Datadog could benefit from enhanced personalized support and easier cloud provider integrations. Some users have pointed out areas in the alerting system that could be streamlined for efficiency.
Ease of Deployment and Customer Service: ExtraHop Reveal(x) facilitates smooth integration with its swift deployment model and robust support, offering functionality within hours. Datadog’s SaaS model allows for easy deployment but may benefit from more individualized support options. Whereas ExtraHop’s offers simple deployment, Datadog is appreciated for its accessibility and scalability.
Pricing and ROI: ExtraHop Reveal(x) generally incurs higher setup costs which affect short-term ROI but are often offset by its specialized capabilities in large IT operations. Datadog offers a flexible, scalable pricing structure that tends to deliver better ROI, making it a cost-effective choice for companies looking for an economic investment. Therefore, Datadog’s pricing and results offer an attractive alternative for budget-conscious buyers.
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.
The ExtraHop Application Performance Management Solution Delivers Unified Visibility Across the IT Environment w/ Proactive Alerts & Accelerated Troubleshooting
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