Dynatrace and Datadog are leading competitors in application and infrastructure monitoring. Dynatrace holds an edge with its AI-driven insights and detailed analytics, while Datadog's strength lies in its integration capabilities and ease of data visualization.
Features: Dynatrace offers AI-driven insights, end-to-end transaction visibility through PurePath technology, and comprehensive real-user monitoring. Datadog provides robust log management, a unified tagging system for tracking across environments, and high integration capabilities.
Room for Improvement: Dynatrace could improve integration with certain enterprise applications, enhance pricing clarity, and provide better historical data access. Datadog's pricing model and cost predictability need enhancement, alongside improvements in query and log search capabilities. Both products should focus on dashboard customization and expanding learning resources for ease of use.
Ease of Deployment and Customer Service: Dynatrace is praised for its broad support across on-premises, hybrid, and cloud environments, coupled with comprehensive customer service like guardian programs. Datadog offers straightforward cloud deployment with a strong support network, though its support is less personalized than Dynatrace's.
Pricing and ROI: Dynatrace utilizes a premium pricing model supported by its feature set and potential ROI via tool consolidation and reduced downtime, although high costs can be a barrier. Datadog's pay-as-you-go model is cost-effective for incremental scaling, but costs may increase with more data consumption, requiring careful management for cost-effectiveness.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
They have a good reputation, and the support is commendable.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
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.
The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
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.
Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems.
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.
Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.
Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:
What does Dynatrace offer?
Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:
Reviews from Real Users
Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.
Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."
A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."
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