Dynatrace and Splunk Observability Cloud compete in the monitoring and analytics software category, with Dynatrace having a slight upper hand due to its AI-driven analysis capabilities.
Features: Dynatrace provides a flexible platform with dynamic reporting and is known for its real-time insights and technologies like PurePath, aiding in tracing user transactions and detecting code-level errors. Splunk Observability Cloud excels in log analytics and integration, delivering a strong dashboard experience with full visibility across monitored environments.
Room for Improvement: Dynatrace faces challenges with pricing complexity and high costs, especially for smaller setups, along with a need for clearer licensing and platform support expansion. Splunk Observability Cloud's main drawback is its cost related to data volume billing, alongside opportunities to enhance machine learning features and improve user interface design for easier navigation.
Ease of Deployment and Customer Service: Dynatrace is recognized for its quick deployment across on-premises and cloud environments, providing proactive and responsive customer support. Splunk Observability Cloud also offers efficient deployment models, particularly in hybrid solutions, but Dynatrace's proactive support makes its user experience more favorable.
Pricing and ROI: Both Dynatrace and Splunk Observability Cloud have significant costs linked to their comprehensive features. Dynatrace's pricing is complex and often steep, yet offers robust ROI through automation and reduced downtime. Splunk's pricing remains high due to data volume-based licensing, with its ROI becoming evident in larger deployments through excellent log management and analytics capabilities.
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.
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.
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.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
Dynatrace is known to be costly, which delayed its integration into our system.
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.
The solution overall is very valuable for me. The time to value was immediate.
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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