Splunk Observability Cloud and Dynatrace are leading competitors in the field of application performance management and monitoring. While both platforms offer robust features, Dynatrace stands out with its advanced AI-driven analytics and quick setup process, providing superior trend clarity and performance issue identification.
Features: Splunk Observability Cloud is known for its ease of use across various teams, including developers and DevOps, and robust dashboards for AWS, Fargate, and Lambda. In contrast, Dynatrace offers comprehensive automatic transaction correlation, deep code-level insights, and its unique PurePath technology that enhances troubleshooting and performance optimization.
Room for Improvement: Splunk Observability Cloud could improve in its pricing structure, integration with various databases, and alerting systems. Dynatrace, meanwhile, could benefit from a more simplified licensing model and a more intuitive GUI for non-technical users, as well as enhanced network and integration capabilities.
Ease of Deployment and Customer Service: Splunk Observability Cloud is praised for its rapid onboarding and user-friendly interface, with high-rated customer support aimed at larger enterprises. Dynatrace offers flexible deployment over public, private, and hybrid clouds, though its customer service receives mixed reviews regarding support responsiveness.
Pricing and ROI: Both Splunk Observability Cloud and Dynatrace are premium priced products reflecting their extensive feature sets. Dynatrace offers significant ROI by improving IT efficiency and reducing manual monitoring efforts, whereas Splunk's costs can rise with data volumes, but remains competitive with top-tier alternatives in improved server uptime and operational efficiency.
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.
The technical support from Dynatrace is excellent.
Problem resolution typically takes between two and five days, which isn't very helpful.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
They did not have a clear answer.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
There have been no stability issues with Dynatrace.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
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.
Dynatrace stands out when making comparisons with other tools.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Dynatrace is known to be costly, which delayed its integration into our system.
If I would ask you to rate price from 1 to 10, where 1 is cheap and 10 is expensive, how many points would you give to it?
Splunk Observability Cloud is expensive.
It appears to be expensive compared to competitors.
The integration with Power BI for generating detailed reports is a standout feature.
Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems.
It offers unified visibility for logs, metrics, and traces.
Saving time with automation can save us weeks. It's improving our resilience.
Unlike other APMs, Splunk's service map is quite effective.
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."
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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