Splunk AppDynamics and BigPanda both compete in the IT operations management sector. While Splunk AppDynamics is favored for its comprehensive application performance monitoring and transaction tracking, BigPanda holds an advantage in incident management through alert aggregation and event correlation.
Features: Splunk AppDynamics provides robust capabilities in performance troubleshooting, transaction tracking, and application flow mapping that offer visibility into the application infrastructure. It provides granular stack trace visibility which helps in diagnosing performance bottlenecks. BigPanda focuses on alert aggregation and correlation, event deduplication, and integrating with various systems to enhance incident response.
Room for Improvement: Splunk AppDynamics could improve by optimizing its user interface for easier navigation and expanding its support for cloud solutions and network monitoring. BigPanda could enhance integration with configuration management and refine its correlation and analytics capabilities. Both products have opportunities to simplify their setup and integration processes.
Ease of Deployment and Customer Service: Splunk AppDynamics offers flexible deployment options across Public, Hybrid Cloud, and On-premises environments, along with high-rated customer service that provides quick and comprehensive support. BigPanda supports deployment primarily in public cloud environments catering to modern infrastructures, and is known for excellent problem resolution and customer engagement.
Pricing and ROI: Splunk AppDynamics is considered a premium tool with a complex, segmented licensing model that can be costly but provides significant ROI through reduced incident times and improved performance. BigPanda is seen as more affordable, aligning pricing with its event management strengths to deliver good value for optimizing incident response without the hefty investment of AppDynamics.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
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.
It's very hard to find ROI because we are currently focused only on the on-premises applications.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
For technical support, we have only had to address password resets and alert mismatching.
Their collaboration was good, and I would rate them nine out of ten.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
I rate the scalability of BigPanda at eight.
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.
I did not find any Docker solution available with it, and a separate instance has to be installed.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
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.
I can rate it nine out of ten.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
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.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
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.
We find its pricing reasonable and competitive.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
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.
BigPanda Autonomous Operations platform is a cutting-edge solution that helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations.
BigPanda’s Autonomous Operations platform increases the ease with which IT administrators are able to both manage their systems and respond to issues that arise. It combines machine learning and automation, which not only provide administrators with reliable suggestions concerning future issues that may arise, but also allows for certain tasks to be assigned to the system itself. These allow organizations to save both time and resources that can be dedicated to more critical tasks.
BigPanda’s Autonomous Operations platform possesses a simplified and unified user interface, enabling users to manage the solution from one place. The UI allows users to view and manage all of the information and controls that IT teams need to be able to easily access, providing a level of visibility that ensures users will be able to view all of their system’s most up-to-date and critical information at any time that they wish.
Benefits of BigPanda Autonomous Operations Platform
Some the benefits of using BigPanda’s Autonomous Operations platform include:
Reviews from Real Users
BigPanda’s Autonomous Operations platform stands out among its competitors for a number of reasons. Two major ones are its centralized user interface and its ability to easily integrate with other security solutions. The centralized UI gives users the ability to clearly see all their alert data in a single location without having to search for it. Its easy integration allows administrators to augment their IT security capabilities when they find it necessary to do so.
PeerSpot user Larry C., the principal engineer in charge of site operations for a tech vendor, notes this benefit when he writes, "Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
Another PeerSpot user, who is an independent entrepreneur in the IT environment at a tech services company, notes the flexibility of this platform when they write “BigPanda integrates well with other solutions, such as WatchGuard.”
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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