

Splunk AppDynamics and Palantir Foundry compete in the data management and performance monitoring category. AppDynamics is stronger in real-time performance monitoring and diagnostics, while Palantir Foundry offers superior data integration and visualization tools, making it a better choice for managing comprehensive data ecosystems.
Features: AppDynamics offers real-time monitoring, provides dynamic baselining for infrastructure metrics, and excels in application performance diagnostics with detailed transaction mapping. Palantir Foundry is noted for its robust data integration, advanced visualization capabilities, and effective data lineage management tools, which ensure seamless data pipeline operations.
Room for Improvement: AppDynamics should focus on enhancing real-time data integration, offering more flexible pricing, and increasing support for new technologies like Kubernetes. Additionally, its agent-based monitoring could be improved for cloud environments. Palantir Foundry faces challenges with high startup costs, complex workflows, and could benefit from enhanced user-friendliness for non-technical users.
Ease of Deployment and Customer Service: AppDynamics supports hybrid, on-premises, and cloud environments, offering deployment flexibility. Customer service receives mixed feedback, with some users highlighting excellent support, while others suggest improvements in response times. Palantir Foundry emphasizes public cloud deployment, with generally positive customer service experiences, though there are calls for faster issue resolution.
Pricing and ROI: AppDynamics's pricing is high but justified by its extensive features and quick ROI through efficient troubleshooting and time savings. Palantir Foundry, despite expensive initial costs, potentially offers better long-term value by reducing the need for a large development team, delivering substantial ROI when well-aligned with business needs. However, initial costs might be prohibitive for some organizations.
With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.
We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.
One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.
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.
They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.
When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.
The support staff are extremely knowledgeable and good at what they are doing.
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.
We work with large volumes of healthcare data, and it has been able to handle all the large-scale ingestion, transformation, and distributed processing workflows effectively.
For scalability, I would rate it ten out of ten because you have a lot of flexibility.
Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.
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.
Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.
I get more technical support from Palantir.
Palantir Foundry has been a stable and reliable enterprise platform.
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.
The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
I want to build conversational BI or conversational agents quickly that can connect to MCPs, and other MCPs that I can communicate with in Palantir Foundry, which are areas to advance forward.
An improvement would be that in case of any changes done by the Palantir team, those changes need to be tested thoroughly so there are no downstream impacts, ensuring that the business is not affected by any modifications in the system.
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.
Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.
In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.
We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.
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.
The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries.
The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.
The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.
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 | 10.1% |
| Palantir Foundry | 3.9% |
| Other | 86.0% |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 7 |
| Large Enterprise | 49 |
| Company Size | Count |
|---|---|
| Small Business | 61 |
| Midsize Enterprise | 37 |
| Large Enterprise | 203 |
Palantir Foundry offers intuitive data management and application development, prioritizing accessibility through low-code/no-code tools, enabling users to integrate, analyze, and collaborate efficiently.
Palantir Foundry centers on user accessibility, data governance, and real-time capabilities, streamlining processes with low-code/no-code development. It supports comprehensive data analysis and integration, enhanced by digital twin features that align virtual and physical interactions. Despite high costs and performance challenges with large datasets, it remains a prime choice for sectors needing structured and unstructured data integration. Key areas include robust data security, lineage tracking, and predictive analytics, promoted through a unified management platform adaptable to diverse needs.
What are the key features of Palantir Foundry?In manufacturing, Palantir Foundry aids in engineering pipeline models and semantic frameworks, while utilities utilize its analytics to enhance service delivery. Insurance firms leverage its capability to assess and predict customer behavior. Throughout these industries, Foundry integrates across cloud environments, bridging structured and unstructured data from various sources.
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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