Datadog and Observer GigaStor compete in network monitoring and data analytics. Datadog leads in scalability and integration for expansive environments, while Observer GigaStor excels in comprehensive network forensics and deep packet inspection.
Features: Datadog integrates seamlessly with cloud services, providing real-time analytics and monitoring across platforms. Its user-friendly dashboard offers a centralized view of metrics, crucial for cloud-focused operations. Observer GigaStor excels with advanced network traffic analysis and historical data insights, making it ideal for network forensics and diagnosing long-term issues.
Room for Improvement: Datadog could enhance certain deep packet inspection features and network forensics capabilities, as its strengths are more cloud-centric. Observer GigaStor might benefit from improved integration with cloud services and increased automation in configuration processes. Enhancing real-time analytics capabilities could also be a plus for Observer GigaStor.
Ease of Deployment and Customer Service: Datadog's deployment is user-friendly, with extensive integration options suitable for cloud environments. Its customer service is responsive and timely. Observer GigaStor requires more extensive on-premise setup, resulting in longer deployment times, but offers comprehensive data analysis once operational. Both have strong customer support, but Datadog's ease of deployment offers an advantage for quicker implementation.
Pricing and ROI: Datadog's usage-based pricing can scale effectively with operations, providing substantial ROI for cloud-centric businesses. Observer GigaStor may have higher initial costs due to hardware needs but offers significant ROI for enterprises needing in-depth network analysis. This showcases Datadog's cost-effectiveness for cloud use, with Observer GigaStor being valuable for specialized network monitoring needs.
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.