Splunk AppDynamics vs Stackify comparison

Splunk and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Splunk is ranked #3 with an average rating of 8.3, while Stackify is ranked #59. Splunk holds a 4.0% mindshare in APM, compared to Stackify’s 0.3% mindshare. Additionally, 91% of Splunk users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Splunk AppDynamics

Read 252 Splunk AppDynamics reviews

12,248 Views
9,676 Comparison Views

91% willing to recommend

Stackify

Read 6 Stackify reviews

930 Views
595 Comparison Views

71% willing to recommend

Splunk AppDynamics

Stackify

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Aug 17, 2025

Splunk AppDynamics and Stackify compete in the application performance management sector. Splunk AppDynamics excels in user satisfaction concerning pricing and support, while Stackify offers more features and overall value.

Features: Splunk AppDynamics is recognized for its robust analytics capabilities, real-time monitoring, and comprehensive application performance tracking. It provides high-level visibility into application performance, supporting various environments. Stackify stands out with its code-level insights, efficient error tracking, and real-time performance metrics, offering deep diagnostic tools and simplified alerting.

Room for Improvement: Splunk AppDynamics could enhance its user interface for better intuitiveness and expand its feature set for better customization options. It could also lower the entry cost to increase accessibility. Stackify might improve by offering more robust integration with third-party tools, better handling of large datasets, and enhancing its scalability for enterprise-level usage.

Ease of Deployment and Customer Service: Splunk AppDynamics is known for offering a straightforward deployment process bolstered by reliable customer service, making setup manageable for users. Stackify excels with an even simpler deployment process and very responsive customer support, ensuring seamless integration and ease of use.

Pricing and ROI: Splunk AppDynamics typically requires a higher upfront cost, which is often justified by the depth of its analytics and monitoring capabilities. Stackify offers a more cost-effective option with a quicker ROI due to its lower setup costs and focus on efficient problem resolution. Stackify's pricing model makes it appealing for organizations seeking value without compromising on features.

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

Buyer's Guide

Splunk AppDynamics vs. Stackify

September 2025

Download the complete report

Helped 867,349 peers since 2012

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

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

252

Ranking in other categories

IT Operations Analytics (2nd), Mobile APM (1st), Container Monitoring (3rd)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

59th

Ranking in IT Infrastructure Monitoring

58th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Log Management (61st)

Mindshare comparison

As of September 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Splunk AppDynamics is 4.0%, down from 5.6% compared to the previous year. The mindshare of Stackify is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Splunk AppDynamics	4.0%
Stackify	0.3%
Other	95.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

Application performance management and error resolution improved with data-driven insights

Dynatrace has multiple functions compared to Splunk AppDynamics, so Splunk AppDynamics should add those functions, which are not available as of now. Dynatrace has a universal agent that collects all information related to their CI, and if one CI has multiple languages, then there is no need to instrument multiple agents. However, Splunk AppDynamics requires multiple agents; if I have one server with multiple applications in different languages, then I need to instrument different agents for each application. Splunk AppDynamics should work with Dynatrace with one single universal agent that works with all application languages, eliminating the need for multiple implementations.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"It has improved our organization with its ability to catch issues quickly and fix them."

"The most valuable feature is the ability to take a report, and in particular, a visual, and link it to actual application performance and then the consequences. This means you can show how an incident or action has an effect on the business."

"I have found the main feature of the solution to be its ability to analyze an application's code to see where there are issues. Additionally, it is easy to use and configure."

"What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces."

"This is a stable product and we definitely plan to continue using it in the future."

"The solution is very, very stable. We haven't faced any bugs or glitches on the system."

"We have found the scalability to be quite good."

"Provides good overall application performance and transaction errors."

More Splunk AppDynamics pros

"The solution is stable and reliable."

"The deployment is very fast."

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

Cons

"There could log management features included in the product."

"There are many KPIs that are not available in AppDynamics."

"The product lost its place as an industry leader."

"Application Analytics' performance in pure and native cloud environments could be improved."

"The product's drawback is the licensing pricing. It could be better."

"AppDynamics Server Monitoring lacks investment in new technologies like Kubernetes and cloud solutions."

"The solution should add some monitoring similar to Oracle monitoring tools for databases. It has a lot of features to monitor SQL queries, and make some recommendation to resolve it. AppDynamics is just monitoring for delays and doesn't provide any recommendations for that. It's a deficiency."

"AppDynamics should improve its ability to track all the transactions."

More Splunk AppDynamics cons

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

"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."

"The search feature could be improved."

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

Pricing and Cost Advice

"Pricing is based on the size of the deployment."

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

"It's a very expensive product. Each of the licenses after this month for one server is around $9,000 or $10,000."

"The way it is structured in terms of price could be better. You pay for individual modules and that adds on to the cost, which detracts you from implementing those modules and slows you down."

"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."

"AppDynamics Server Monitoring is a very expensive product, but if you negotiate well, you get value for money...My company used to make early payments toward the licensing costs of the solution, but now my company has opted for a different licensing model."

"We have a license-based solution. That means you need a license for each server you monitor."

"The licensing scheme is very complex. They need to make it easier."

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."

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

See recommendations

867,349 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

14%

Manufacturing Company

Insurance Company

Financial Services Firm

14%

Media Company

Comms Service Provider

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	54
Midsize Enterprise	36
Large Enterprise	188

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	2

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...

See all answers

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...

See all answers

What do you like most about AppDynamics?

The solution saves time and cost.

See all answers

Ask a question

Earn 20 points

Comparisons

Dynatrace vs Splunk AppDynamics

Compared 14% of the time

Datadog vs Splunk AppDynamics

Compared 9% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 8% of the time

New Relic vs Splunk AppDynamics

Compared 8% of the time

Grafana vs Splunk AppDynamics

Compared 4% of the time

More Splunk AppDynamics Competitors

New Relic vs Stackify

Compared 50% of the time

Dynatrace vs Stackify

Compared 30% of the time

Splunk Enterprise Security vs Stackify

Compared 20% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

Splunk AppDynamics

August 2025

Download Splunk AppDynamics product report

Buyer's Guide

Stackify

August 2025

Download Stackify product report

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.

Stackify

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

Buyer's Guide

Splunk AppDynamics vs. Stackify

September 2025

Free Report: Splunk AppDynamics vs. Stackify

Find out what your peers are saying about Splunk AppDynamics vs. Stackify and other solutions. Updated: September 2025.

DOWNLOAD NOW

867,349 professionals have used our research since 2012.

See our Splunk AppDynamics vs. Stackify report.

See our list of best Application Performance Monitoring (APM) and Observability vendors and best IT Infrastructure Monitoring vendors.

We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.