Splunk AppDynamics and Splunk Observability Cloud compete in the comprehensive monitoring solutions category. Splunk AppDynamics appears to have an advantage due to its deep application performance insights and transaction tracking capabilities, while Splunk Observability Cloud offers strong real-time cloud-native environment monitoring with AI-powered analytics.
Features: Splunk AppDynamics is known for its deep application performance insights, transaction tracking, and advanced alerting capabilities. It provides detailed stack traces and automatic baselining, making it a tool of choice for those looking for granular application monitoring. In contrast, Splunk Observability Cloud excels in infrastructure monitoring with its AI-driven analytics, offering enhanced metrics aggregation and real-time insights that span multiple data sources, which is ideal for cloud-native environments.
Room for Improvement: Splunk AppDynamics could improve by enhancing its support for emerging technologies and refining its HTML and mobile interfaces. Users also suggest better network monitoring integration and simpler dashboard customization. On the other hand, Splunk Observability Cloud could benefit from improving its synthetic monitoring features and expanding its documentation, making it more user-friendly for onboarding. Integration with third-party tools and intuitive dashboards are also areas for potential growth.
Ease of Deployment and Customer Service: Splunk AppDynamics is noted for its flexible deployment across various environments such as on-premises and cloud, coupled with robust technical support, although it requires specific expertise for optimal setup. In comparison, Splunk Observability Cloud is recognized for its straightforward deployment, particularly in cloud environments, backed by strong customer service, with deployment complexity mutually dependent on existing infrastructure.
Pricing and ROI: Splunk AppDynamics has a reputation for being expensive, with a complex pricing model due to separate licensing for multiple agents. However, it often delivers notable ROI by enhancing application performance and minimizing downtime. Splunk Observability Cloud also carries a significant cost but offers a more straightforward pricing model, applauded for its value by providing expansive visibility across cloud environments. Both solutions are regarded as worthy investments for businesses prioritizing comprehensive monitoring.
AppDynamics is much more helpful.
The customer service and support are helpful and responsive.
They often require multiple questions, with five or six emails to get a response.
They did respond to us, but they did not explicitly inform us about the feature's absence.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I did not find any Docker solution available with it, and a separate instance has to be installed.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
I can rate it nine out of ten.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.
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.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
The baseline of all metrics in the Splunk AppDynamics database is very interesting. It can send alarms or alerts when the database baseline is not correct.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Splunk APM provides a holistic view of the application.
Splunk AppDynamics enhances application performance monitoring with advanced diagnostics and real-time insights, offering seamless end-to-end transaction tracking and infrastructure visibility.
AppDynamics provides critical tools for businesses to analyze application behavior and performance. Through innovative features like transaction snapshot analysis and adaptable dashboards, users can quickly identify and address issues, ensuring high levels of system uptime and efficiency. It is designed to support complex environments including Kubernetes and AWS, enhancing user experience by detecting performance issues early. Despite needing improvements in network monitoring and integration, it remains a robust option for tracking application health.
What are the key features of AppDynamics?In industries like financial services and e-commerce, AppDynamics facilitates performance tracking across distributed systems, optimizing infrastructure to meet consumer demands. It excels in environments needing precise transaction monitoring and is pivotal in delivering high value and satisfaction.
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.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
