Dynatrace and Elastic Observability compete in the observability and application performance management category. In the analysis, Dynatrace has an edge due to its advanced features and comprehensive insights.
Features: Dynatrace offers advanced monitoring technologies like PurePath and AI-driven insights, enabling automatic transaction correlation and deep code-level analysis. These features are highly valued by users. Elastic Observability provides a flexible integrated platform with log analytics and infrastructure monitoring, appealing for its open-source nature and scalability in cloud environments.
Room for Improvement: Dynatrace could improve in pricing and licensing complexities, enhance legacy system integration, and expand network monitoring capabilities. Users also suggest better UI customization and support for older technologies. Elastic Observability users see room for improvement in predictive analytics, APM features, and visualization tools, noting a steep learning curve and limited native capabilities for some emerging technologies.
Ease of Deployment and Customer Service: Dynatrace offers deployment across on-premises, hybrid, and public cloud environments, with mostly positive customer service experiences. Elastic Observability provides reliable deployment in on-premises and hybrid environments and is praised for its responsive customer service, though some users desire faster and more detailed technical support.
Pricing and ROI: Dynatrace is seen as a premium solution with higher costs but is commended for reducing troubleshooting time and increasing operational efficiency, providing substantial ROI. Elastic Observability is more cost-effective for smaller deployments, offering affordability with its open-source model, though some premium features can be expensive. Both tools add value in tool consolidation and service delivery improvement, with Dynatrace delivering more advanced application insights.
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.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
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.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
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."
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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