Splunk AppDynamics and Sentry compete in application performance management, with Splunk AppDynamics standing out for its extensive performance analysis features, while Sentry is favored for its simplicity and real-time error tracking. Splunk AppDynamics appears to have an upper hand with its comprehensive transaction tracking and diagnostics capabilities, although both have their strengths in specific areas.
Features: Splunk AppDynamics excels with transaction tracking, deep problem diagnostics, and automatic baselining. These features are crucial for detailed performance analysis and offer greater visibility into business transactions. In contrast, Sentry focuses on error tracking and quick identification of silent failures in applications. It integrates seamlessly with communication platforms for real-time error handling, making it user-friendly and straightforward.
Room for Improvement: Splunk AppDynamics could refine its user interfaces and simplify configurations for a more streamlined setup. Additionally, improving integration with emerging technologies is essential for its adaptability. Sentry, on the other hand, needs enhancements in its user interface and real-time alerting integration to meet comprehensive user requirements. Both products have specific areas ripe for development to improve user experience.
Ease of Deployment and Customer Service: Splunk AppDynamics is commonly deployed in various environments such as on-premises, public, private, and hybrid clouds. While its deployment procedures are complex, technical support is valued despite needing faster resolution times. Sentry is often used in public and on-premises environments and could benefit from more proactive customer support to enhance its user experience.
Pricing and ROI: Splunk AppDynamics is higher in cost due to its exhaustive capabilities, often considered justified by enterprises needing in-depth insights. Sentry is praised for its cost-effectiveness and flexibility, appealing to smaller teams or projects. Although Splunk AppDynamics offers significant ROI in extensive scenarios, Sentry excels in straightforward error tracking, providing a more affordable solution for specific use cases.
Overall, as a production gatekeeper, we achieve at least 50% efficiency immediately, with potential savings ranging from 60 to 70% as well, reinforcing why it is a popular tool in the banking industry.
According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.
We have not contacted their technical support because everything is easy to set up under Sentry.
It dives deep into questions, leading to effective solutions, often making it feel that a human is resolving issues at the back end.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
It has been easy to use and configure across multiple systems, each having several environments.
Our operational efficiency increases multifold, and service delivery has contributed to revenue growth and business expansion.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
Splunk AppDynamics is superior to any alternative, including Dynatrace.
Integrations or single sign-on capability with Microsoft would be beneficial for securing all assets.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
AI could provide more insights for annual or half-yearly reports and forecast future changes in the asset landscape.
Functionality-wise, I would like to see more cognitive solutions in Splunk AppDynamics, ideally with a single agent that can implement policies and provide predictive insights regarding application performance degradation during peak times.
Compared to New Relic, it provides the necessary features at a cheaper cost, especially since we moved infrastructure monitoring to Azure.
We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
Overall, I consider Splunk AppDynamics an expensive product; it's very expensive.
The resource team finds the best prices, ensuring that Splunk AppDynamics is an acceptable option for the end user.
Real-time error tracking helps our Quality Assurance team easily identify the root causes of problems or bugs and promptly inform the developers about specific issues.
At this time, I focus on finding and fixing bugs.
Sentry provides real-time error tracking which is invaluable for identifying and resolving issues quickly.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.
This is the best feature because, although you can't monitor a whole application at once, Splunk AppDynamics gives you the option that if there is any failure—simple failure regarding anything set up as per our use cases—you will get an alert.
| Product | Mindshare (%) |
|---|---|
| Splunk AppDynamics | 5.0% |
| Sentry | 1.4% |
| Other | 93.6% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 38 |
| Large Enterprise | 208 |
Sentry provides developers with real-time error tracking and performance metrics, facilitating efficient monitoring and logging across front-end and back-end systems. The platform enhances error visibility without direct production access, ensuring robust data protection.
Sentry offers a comprehensive integration with Git repositories, allowing users to gain context for errors and manage performance metrics across their entire tech stack. Its user-friendly interface, coupled with features like security and session replays, aids in rapid learning and error resolution. Support for platforms like Azure Web Services and seamless integration with communication tools further enhances its functionalities. The tool is appreciated for error and performance reporting, with integrations extending to platforms such as Slack and AWS Lambda. Users, however, seek improved integration with additional tools, enhanced tracing capabilities, task automation, and better customization for event handling.
What are the key features of Sentry?Sentry finds application across industries like banking, where it's deployed to monitor application performance and manage errors both on-premises and in the cloud. Teams benefit from its ability to trace and rectify errors while preserving system reliability and ensuring controlled access to databases.
Splunk AppDynamics is a comprehensive performance monitoring tool providing end-to-end transaction tracking, real-time monitoring, and a user-friendly interface. With AI-powered features, it enhances operational efficiency and resilience by offering insights into user interactions and infrastructure issues.
Splunk AppDynamics excels in monitoring applications and infrastructure performance, offering extensive support across environments like AWS and cloud. It aids in application performance monitoring, end-user experience, database analysis, and proactive incident detection. Supporting Java, .NET, and other technologies, it provides real-time insights into application health, resource utilization, and transaction tracking, ensuring reliable user experiences. Challenges remain in UI complexity, agent-based architecture, integration with diverse environments, and documentation clarity. Its licensing model is costly, and customer support may be slow. Performance concerns exist in historical data granularity and network visibility.
What features make Splunk AppDynamics stand out?
What benefits and ROI can users expect from Splunk AppDynamics?
Organizations in industries like finance and healthcare implement Splunk AppDynamics to monitor critical applications and infrastructure. Its capabilities in transaction tracking and AI-driven insights are crucial for maintaining system reliability, supporting technologies such as Java and .NET, and ensuring optimal resource utilization.
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