Dynatrace and Elastic Observability are prominent tools for monitoring and observability. Users seem happier with Dynatrace's features and support; however, Elastic Observability shows strong performance and cost-efficiency based on user reviews, making it competitive.
Features: Dynatrace is praised for its automatic dependency detection, advanced synthetic monitoring, and AI-rooted problem detection. Elastic Observability is valued for its flexibility in log analysis, real-time monitoring, and open-source integrations. Despite Dynatrace's comprehensive feature set, Elastic Observability is appreciated for its customizable features.
Room for Improvement: Dynatrace users suggest enhancements in configuration complexity and pricing transparency. Elastic Observability users seek improvements in scalability and easier initial setup. While Dynatrace faces criticism for its complexity, Elastic Observability's main challenges revolve around performance scalability.
Ease of Deployment and Customer Service: Dynatrace is noted for its straightforward cloud deployment but criticized for time-consuming initial setup. Users find its customer support responsive and helpful. Elastic Observability provides a smooth deployment experience with extensive community support but requires more sophisticated knowledge for optimal use. Dynatrace stands out in customer service, while Elastic Observability offers more flexibility in deployment.
Pricing and ROI: Dynatrace users find value despite higher costs due to comprehensive feature sets and quick ROI. Elastic Observability is highlighted for its cost-effective pricing model and satisfactory ROI, especially for small to medium-sized businesses. Although Dynatrace offers robust features justifying its price, Elastic Observability is appreciated for its cost-efficiency and competitive ROI.
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.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
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.
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 most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
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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