Datadog and Observer GigaStor are competing products in the network monitoring and analysis category. Datadog seems to hold the upper hand with its agile real-time monitoring and ease of integration, whereas Observer GigaStor excels in high-capacity storage and retrospective network analysis critical for detailed historical insights.
Features: Datadog provides cloud-based monitoring with seamless integration capabilities, real-time analytics, and diverse metric tracking. Observer GigaStor offers massive data storage, detailed historical packet analysis, and robust high-capacity storage, ideal for in-depth network troubleshooting.
Room for Improvement: Datadog could enhance its detailed historical data analysis capabilities, improve retrospective analysis tools, and expand its on-premise deployment solutions. Observer GigaStor might focus on simplifying initial setup, integrating real-time analytics at cloud scale, and enhancing ease of integration with various cloud services.
Ease of Deployment and Customer Service: Datadog's cloud-focused deployment offers simplicity and quick setup enhanced by responsive support, appealing to those who value rapid deployment. Observer GigaStor's on-premise setup is more complex but provides comprehensive support beneficial for large-scale network analysis environments.
Pricing and ROI: Datadog offers scalable pricing based on usage, providing notable ROI for real-time capabilities. Observer GigaStor may have higher initial costs due to its hardware requirements but delivers significant ROI for enterprises focusing on detailed network history analysis.
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.
Observer GigaStor is a network analysis tool that comes in a variety of form factors, including rack mount, portable, and virtual. Capable of storing up to a petabyte of traffic for later analysis, GigaStor helps ensure optimal network and application performance.
We monitor all Network Monitoring Software 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.