Splunk AppDynamics and Elastic Observability compete in the field of application and infrastructure monitoring. AppDynamics seems to have the upper hand due to its advanced transaction tracing and deep integration in Java and .NET environments, while Elastic Observability benefits from its broader integration with the Elastic Stack, offering significant scalability and flexibility.
Features: AppDynamics offers deep transaction tracing, end-to-end transaction breakdowns, and automatic flow maps. It provides detailed JVM metrics and enhances performance troubleshooting through comprehensive monitoring across different environments. Elastic Observability integrates seamlessly with the Elastic Stack, delivering scalable log monitoring and robust APM capabilities. Its flexibility is especially beneficial in handling large data volumes, although it is still maturing in transaction tracing.
Room for Improvement: AppDynamics users report a steep learning curve, complex agent updates, and licensing challenges. Increased flexibility in dashboard customization and better integration with other tools, along with enhanced network monitoring, are desired enhancements. Elastic Observability users recommend improvements in APM functionalities and more flexible metrics visualization. Initial setup challenges and configuration flexibility are areas they suggest requiring better predictive analytics and asset discovery capabilities.
Ease of Deployment and Customer Service: AppDynamics supports diverse deployment environments, including on-premises and hybrid clouds, with generally responsive technical support, although setup complexity can be a hurdle. Elastic Observability is noted for its deployment flexibility and cost-effectiveness, supporting both on-premises and hybrid environments. Users appreciate its support reliability, yet documentation and self-service resources need improvement.
Pricing and ROI: AppDynamics is known for its premium pricing, potentially prohibitive with additional features like analytics. Effective negotiation is often necessary to manage costs, though it provides substantial ROI through reduced MTTR and improved customer satisfaction. Elastic Observability offers competitive pricing, benefiting smaller-scale deployments. It leverages open-source roots for appeal, but premium features incur additional costs, with opportunities identified for pricing adjustments for smaller users.
AppDynamics is much more helpful.
The customer service and support are helpful and responsive.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
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.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
I can rate it nine out of ten.
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.
Splunk AppDynamics provides an end-to-end view of the application but misses the infrastructure part, which is crucial.
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.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
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.
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.
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.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
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.
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.
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