Datadog and New Relic are leading competitors in the IT monitoring and analytics field. Datadog appears to have the strategic advantage due to its comprehensive visualization capabilities, which aid in effective capacity planning and quick error detection.
Features: Datadog offers comprehensive infrastructure and network traffic visualization, advanced dashboards, and seamless integrations with cloud platforms like AWS. Its APM functionalities provide crucial insights into application performance despite needing some improvements. New Relic is noted for its detailed server and application monitoring, real-time analytic insights, and reliability, making it a valuable tool for debugging and performance enhancement.
Room for Improvement: Datadog users have identified a need for better error traceability, more pre-configured monitor alerts, a simplified pricing model, and PHP profiling support. There are concerns over billing issues with usage spikes and overwhelming documentation for new users. New Relic could develop better error analysis features, improve third-party tool integration, enhance application uptime monitoring, and offer more robust database insights. Users also suggested more flexible alerting mechanisms and an improved pricing structure.
Ease of Deployment and Customer Service: Datadog is recognized for its intuitive setup process and proactive customer support, despite some regional support inconsistencies. New Relic receives praise for its deployment guides and customer service, though documentation clarity remains a concern. Both solutions provide reliable support, although response times and technical knowledge can vary.
Pricing and ROI: Datadog’s pricing structure can be complex, leading to unexpected high costs, especially with features like custom metrics. However, users appreciate its alignment with large-scale operations. New Relic offers competitive pricing with flexible options that can become expensive as usage scales. Both provide good ROI in terms of operational efficiency and problem resolution, with user perceptions strongly influenced by pricing strategies.
Issues that could be solved quickly sometimes take longer because they go around in circles.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
The setup cost for Datadog is more than $100.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
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.
New Relic is a powerful tool for optimizing web pages, tracking user behavior, and monitoring application performance. It helps detect anomalies, generate metrics, and create dashboards for synthetics monitoring, container workloads, stress tests, and more.
New Relic provides organizations with comprehensive insights into APIs, infrastructure, and scalability. It supports mobile and web applications with features like java tracking, health maps, customizable dashboards, and drill-downs. Users benefit from its easy initial setup, accurate alerts, UI monitoring, error tracking, and traceability. New Relic supports multiple ecosystems with straightforward pricing and new feature introductions, offering end-to-end monitoring, thorough data analysis, and effective problem resolution.
What are New Relic's most important features?New Relic is leveraged in industries such as e-commerce, finance, and technology. It helps monitor web traffic, evaluate load balancing, and ensure applications meet performance standards. Companies use it for stress tests, container-based workloads, API monitoring, and infrastructure management. Its integration capabilities are valuable for maintaining performance and scalability across diverse ecosystems, aiding in thorough data analysis and problem resolution.
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