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 8.4, while Stackify is ranked #62. Splunk holds a 4.8% mindshare in APM, compared to Stackify’s 0.2% 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 245 Splunk AppDynamics reviews

13,704 Views
8,628 Comparison Views

91% willing to recommend

Stackify

Read 6 Stackify reviews

498 Views
351 Comparison Views

71% willing to recommend

Splunk AppDynamics

Stackify

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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: February 2025).

Buyer's Guide

Splunk AppDynamics vs. Stackify

February 2025

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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

245

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

"It reduces the time to resolve issues and requires less manpower."

"The proactive monitoring from AppDynamics definitely helps."

"The correlation feature available with AppDynamics Server Monitoring is absent in other competitive solutions"

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

"Transition tracing is the most valuable is pretty easy and useful, but the user experience piece is also good."

"The solution's most valuable features are its end-user monitoring and AI functionalities."

"Applications: This provides us insight into how our applications are performing within our environments and affords us the ability to identify opportunities and make changes to code / environment to effect positive performance lift."

"We previously had an operations team continuously monitoring applications. Now, they just have set things up and our developers can monitor, view, and act on them, accordingly."

More Splunk AppDynamics pros

"The solution is stable and reliable."

"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."

Cons

"The user experience is quite confusing. There are too many different development stages. The UI is not very intuitive."

"This product has an issue with initial lag upon opening that we would like to see improved."

"The solution needs to support IBM products."

"The only improvement I see is intercepting calls in a mobile application without injecting additional code. Currently, when instrumenting or monitoring a mobile application, it's necessary to release updates, prompt users to upgrade, and inject code into the backend. It would be beneficial if there were a method to intercept these calls without requiring users to download and upgrade the application. However, I'm unsure about the feasibility of such an approach."

"I have found it sometimes a bit difficult to trace the transaction all the way through to the application. I'm not sure if that problem is on the database side or on the application side, but that would be something that I would like to be improved. The traceability from the application to the database, sometimes, is a bit of a challenge. If you're using AppDynamics, with the Java agent, for instance, you need to be able to trace it through."

"I believe they need to increase their level of visibility in the infrastructure, particularly in the infrastructure monitoring section, which currently lacks visibility."

"The solution could be more user-friendly for diagnostic purposes. Anyone who is using the solution should be able to infer what that error is about, they should be able to troubleshoot it better."

"The integration with cloud services is still pending with AppDynamics. We would like the product to be serverless."

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."

"The search feature could be improved."

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

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

Pricing and Cost Advice

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

"There is a license needed to use the solution and it is expensive. The licensing model needs to improve."

"There is a license for the solution and we paid approximately $2,000. There is also an additional cost above the standard license which cost us approximately $3,000."

"The solution has a high cost."

"The product’s licencing policy is competitive. However, properly identify and size your needs to get the best rate."

"We have two different licensing models for this solution. One of them is the agent based model, which requires payment per agent. The other is an infrastructure based model, where the price is based on the CPU core. For the infrastructure model wholesale level pricing applies. All of the up to date licensing prices for this product are available on the manufacturers website."

"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."

"Take into consideration what you get for specific pricing models and how much it costs to add on things you may need later."

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

49%

Financial Services Firm

16%

Computer Software Company

Manufacturing Company

Financial Services Firm

23%

Computer Software Company

14%

Manufacturing Company

Insurance 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 16% 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 6% of the time

More Splunk AppDynamics Competitors

Dynatrace vs Stackify

Compared 44% of the time

New Relic vs Stackify

Compared 40% of the time

Splunk Enterprise Security vs Stackify

Compared 16% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

Splunk AppDynamics

March 2025

Download Splunk AppDynamics product report

Buyer's Guide

Stackify

March 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

February 2025

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