Splunk AppDynamics vs Stackify comparison

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Splunk AppDynamics

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Executive SummaryUpdated on Feb 6, 2025

Splunk AppDynamics and Stackify compete in the application performance monitoring category. Data comparisons indicate Splunk AppDynamics tends to have an edge due to its flexible pricing and robust support, although Stackify's feature-rich offering is also compelling.

Features: Splunk AppDynamics is noted for analytics capabilities, intuitive dashboards, and JVM memory monitoring. Its real-time application monitoring provides detailed transaction insights. In contrast, Stackify excels with advanced error tracking, integrated log management, and quick diagnosis tools, offering comprehensive real-time monitoring and alerts.

Room for Improvement: Splunk AppDynamics could enhance its agentless monitoring and reduce resource consumption. Ease of configuration and better integration with third-party tools are additional areas for development. Stackify, while feature-rich, could benefit from streamlining its setup process and optimizing high-traffic data management. Expanding integration capabilities and refining alert settings for granular control could further improve its overall functionality.

Ease of Deployment and Customer Service: Splunk AppDynamics presents a versatile deployment model with solid customer support, easing integration in complex environments. While Stackify provides straightforward deployment, it differentiates itself with proactive customer service. Its ease of use is appreciated in less intricate setups, though Splunk AppDynamics's sophistication caters better to large enterprise needs.

Pricing and ROI: Splunk AppDynamics usually incurs higher initial setup costs, but its comprehensive solutions often justify the expense, yielding a strong ROI. Cost-sensitive buyers find Stackify's more economical setup appealing, as it delivers significant ROI by combining robust features with cost-effective pricing models.

To learn more, read our detailed Splunk AppDynamics vs. Stackify Report (Updated: April 2025).

Splunk AppDynamics vs. Stackify

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Splunk AppDynamics

Ranking in Application Performance Monitoring (APM) and Observability

3rd

Ranking in IT Infrastructure Monitoring

4th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

246

Ranking in other categories

IT Operations Analytics (2nd), Mobile APM (2nd), Container Monitoring (3rd)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

62nd

Ranking in IT Infrastructure Monitoring

57th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Log Management (63rd)

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Splunk AppDynamics is 4.8%, down from 6.2% compared to the previous year. The mindshare of Stackify is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Muhammad Zeeshan Siddiqui

Head of Technology and Services at arwentech

Dynamic mapping enhances workflows that are user-friendly

One aspect that requires improvement is the agent. Without an agent, gathering sufficient information on applications is challenging. Additionally, the agent sometimes creates performance issues in production environments. If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems. Moving to an agentless solution, like what some competitors are doing, would be beneficial.

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Moses Arigbede

Head of DevOps at Partsimony

Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The AppDyniamics technical support is good. We haven't had any problems with them. They answer very quickly."

"The analytics are great."

"The solution helps us with performance testing by enabling us to monitor applications."

"The transaction snapshots let you find out where the application broke; it pinpoints where in the call stack, and then how long it took to resolve."

"It's made it easier to collaborate across teams; be able to have the same data immediately in front of you just by sharing a URL."

"The product provides a nice end-user experience."

"It has improved my organization because we are able to proactively and reactively look at performance issues."

"It is easy to gain visibility into complex environments with AppDynamics. It has the ability to combine operation information of the environment and business information with strong business IQ support."

More Splunk AppDynamics pros

"The deployment is very fast."

"The performance dashboard and the accurate level of details are beneficial."

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."

"The solution is stable and reliable."

Cons

"Improvements can be made in the area of AI integration."

"The scalability could be improved."

"The configuration is tricky and requires a lot of tools."

"I would like to see support for mobile testing and mobile monitoring."

"I would like to be able to monitor both cloud an on-prem infrastructures, displayed in one dashboard."

"One aspect that requires improvement is the agent. Without an agent, gathering sufficient information on applications is challenging. Additionally, the agent sometimes creates performance issues in production environments."

"Rolling out version upgrades is a difficult job at times."

"The user access management could be a bit better."

More Splunk AppDynamics cons

"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."

"It should be easily scalable and configurable in different instances."

"The search feature could be improved."

"I would like to be able to see metrics about individual running containers on the host machines."

Pricing and Cost Advice

"The pricing model for AppDynamics could be better. You have to subscribe to a yearly or a three-year licensing, which isn't very handy. The solution is one of the most expensive in the market today."

"There is a license to use this solution. However, the clients pay for the licenses we are the service provider."

"Because it is priced per JVM, the price can increase pretty fast, into the millions. We have had challenges because we had to justify the price to our clients, as well, when we are putting in certain tools."

"I rate AppDynamics Mobile Real-User Monitoring's pricing as seven out of ten. Mobile monitoring is paid based on the number of instances utilizing the mobile monitoring service, which increases as the scale grows. Consequently, your mobile user count can proportionally surpass all other applications."

"You are required to purchase licenses whether you use it or not. It is not pay-as-you-use."

"Purchasing the product through the AWS Marketplace was good."

"There is no standard license instead, the license is adapted to the organization's requirements."

"AppDynamics does not usually do monthly payments. They do it on an annual basis, at the very least."

More Splunk AppDynamics pricing and cost advice

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

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Top Industries

By visitors reading reviews

Educational Organization

48%

Financial Services Firm

16%

Computer Software Company

Manufacturing Company

Financial Services Firm

20%

Computer Software Company

16%

Media Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

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APM tools for a Managed Service Provider - Dynatrace vs. AppDynamics vs. Aternity vs. Ruxit

Hi Avi! It's great to see your thorough approach to selecting an APM package for your MSP company. Considering your focus on SMBs and enterprises in Israel, Dynatrace seems like a solid choice with...

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What do you like most about AppDynamics?

The solution saves time and cost.

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Comparisons

Dynatrace vs Splunk AppDynamics

Compared 15% of the time

Datadog vs Splunk AppDynamics

Compared 10% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 8% of the time

New Relic vs Splunk AppDynamics

Compared 7% of the time

Grafana vs Splunk AppDynamics

Compared 5% of the time

More Splunk AppDynamics Competitors

Dynatrace vs Stackify

Compared 43% of the time

New Relic vs Stackify

Compared 41% of the time

Splunk Enterprise Security vs Stackify

Compared 16% of the time

More Stackify Competitors

Product Reports

Splunk AppDynamics

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Overview

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?

Real-time Performance Monitoring: Offers immediate insights into application behavior.
Business Transaction Tracking: Tracks transactions from start to finish for bottleneck identification.
JVM Memory Monitoring: Provides detailed JVM metrics and memory use information.
Deep-dive Diagnostics: Enables in-depth analysis of code and stack traces.
Adaptable Dashboards: Customizable views for better data interpretation.

How does AppDynamics benefit users?

Improved Incident Resolution: Faster problem detection and solution implementation.
Enhanced Application Performance: Real-time monitoring optimizes system operations.
Comprehensive Visibility: Provides a full view of application infrastructure.
Informed Decision Making: Detailed analytics guide performance improvements.
Customer Satisfaction: Enhances user experience through faster issue resolutions.

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

Stackify is an application performance management (APM) solution that combines application performance monitoring with logs, errors, and reporting. It is a SaaS solution that is developer-focused. Users can quickly scan, identify, and repair issues with applications. Stackify APM offers valuable tools, such as Prefix and Retrace, which help to make it a comprehensive and valuable APM solution. Stackify is now part of the Netreo family of IT Infrastructure Management (ITIM), which is considered one of the fastest-growing IT organizations in the marketplace today.

Stackify Prefix

Stackify Prefix helps developers write better code, faster. The tool examines, tests, and approves code as it is being written. Almost every new application is code-perfect, negating the need for exhausting troubleshooting and frustrating time-consuming code review.

Prefix is able to discover poor-performing SQL queries, ORM queries, potential bottlenecks, and concealed exceptions prior to moving the application into production.

Prefix offers Summary Dashboards, intuitive suggestions, integrated logs, and distributed tracing. Distributed tracing expands visibility to cloud-native applications, microservices, and containers and can also provide additional transparency to cache services, web services, third-party services, and more. Users are able to easily move from logs to traces and back.

This valuable tool ensures developers are able to consistently release the best code possible in the least amount of time, while improving performance, productivity, and profitability.

Prefix is a very robust and easy-to-use tool. It can be used seamlessly with Linux, macOS, and Windows. Prefix integrates well with numerous languages, such as Java, Python, Ruby, PHP, Node.js, .Net, and .Net Core.

Stackify Retrace

Stackify Retrace is a user-friendly, trusted APM solution used in more than fifty countries worldwide. Users know that Retrace is able to ensure they can complete quicker, more efficient application development and consistently enhance overall application performance by suggesting important intuitive suggestions users need.

This solution is beneficial to both developers (Dev) and operations (Ops) personnel to learn to improve code and immediately finetune issues by:

Establishing effortless collaboration between Dev and Ops personnel via an easy-to-use GUI dashboard.
Delivering complete transparency of all stages of the application development process, from pre-development to production.
Utilizing performance protocols, such as error tracking, application logs, and code profiling, in real time in order to thoroughly understand how long a code will take to complete various tasks.
Improving overall efficiency and productivity by immediately discovering and repairing application issues.

Retrace Real User Monitoring (RUM) uses both front-end and back-end monitoring to give users a complete picture of what is going on with the applications. This intuitive dashboard displays performance with a complete breakdown of resource usage and integrates the server-side and client traces into one engaging, user-friendly, extensive view.

Retrace is an out-of-the-box solution that works seamlessly with Java stacks, PHP, Node.js, Ruby, Python, .Net, and .Net Core. It is also compatible with many of today’s popular frameworks, such as AWS, Azure, Elasticsearch, MongoDB, MySQL, Oracle, PostgreSQL, Redis, and SQL Server. Additionally, Retrace will work effectively with many cloud providers, containers, and languages, and offers excellent and easy integration with today's favorite tools such as Jira, Slack, Jenkins, and more.

Sample Customers

Cisco, Sony, Nasdaq, Reserve Bank of New Zealand, Edmunds.com, Puma, Fox News, DirecTV, Pizza Hut, T-Systems, Cornell University, OpenTable, BITMARCK, Green Mountain Power, Care.com, Overstock, Paddy Power, eHarmony, Kraft, The Motley Fool, The Container Store, and more See more customers

MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion

Splunk AppDynamics vs. Stackify