Splunk Observability Cloud vs Stackify comparison

Splunk and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Splunk is ranked #8 with an average rating of 8.7, while Stackify is ranked #61. Splunk holds a 2.0% mindshare in APM, compared to Stackify’s 0.2% mindshare. Additionally, 94% of Splunk users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Splunk Observability Cloud

Read 57 Splunk Observability Cloud reviews

5,348 Views
3,262 Comparison Views

94% willing to recommend

Stackify

Read 6 Stackify reviews

822 Views
477 Comparison Views

71% willing to recommend

Splunk Observability Cloud

Stackify

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Executive SummaryUpdated on Jun 19, 2025

Stackify and Splunk Observability Cloud compete in the observability solutions category, particularly excelling in monitoring applications and infrastructure. Stackify has an edge in catering to small to mid-sized organizations with its ease of deployment and user-friendly features, while Splunk Observability Cloud is preferred for larger enterprises due to its extensive data analytics and scalability.

Features: Stackify supports application performance monitoring, error tracking, and log management, with an emphasis on ease of use. This makes it highly suitable for small to mid-sized businesses. Splunk Observability Cloud offers extensive data processing capabilities, advanced real-time metrics, trace analytics, and comprehensive log management features, making it ideal for more complex, larger environments.

Room for Improvement: Stackify could enhance its data processing capabilities and scalability to better serve larger enterprises. It should also include advanced real-time metrics and trace analytics to provide deeper insights. Splunk Observability Cloud could simplify its deployment process to be more accessible and user-friendly for smaller teams. It may also benefit from offering a more competitive pricing structure to attract mid-sized businesses. Additionally, enhancing out-of-the-box user-friendly features would be beneficial.

Ease of Deployment and Customer Service: Stackify offers a straightforward deployment process with comprehensive support, ideal for teams with limited resources, ensuring quick setup. Splunk Observability Cloud, while more complex to deploy, provides robust customer support and detailed documentation, better suited for enterprises willing to invest time in configuration for long-term benefits.

Pricing and ROI: Stackify generally involves lower setup costs and provides attractive ROI for smaller businesses due to its affordable pricing structure and immediate operational benefits. In contrast, Splunk Observability Cloud requires higher initial costs but justifies this with an extensive feature set and scalability, offering significant ROI over time for larger organizations seeking comprehensive data insights.

To learn more, read our detailed Splunk Observability Cloud vs. Stackify Report (Updated: August 2025).

Buyer's Guide

Splunk Observability Cloud vs. Stackify

August 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 Observability Cloud

Ranking in Application Performance Monitoring (APM) and Observability

8th

Ranking in IT Infrastructure Monitoring

7th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (6th), Cloud Monitoring Software (7th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

61st

Ranking in IT Infrastructure Monitoring

59th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Log Management (61st)

Mindshare comparison

As of August 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Splunk Observability Cloud is 2.0%, up from 0.9% compared to the previous year. The mindshare of Stackify is 0.2%, up 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

Lakshmi Padaga

Java Developer at U.S. Bank

Collaborates performance metrics with log data to pinpoint the exact cause of issues and offers error detection

Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navigation, like streamlining the user interface to make navigation more intuitive for our users, especially those new to APM, which can enhance usability. We can provide more customization options for dashboards and visualizations to help users tailor the platform to their specific needs. There could be more integration capabilities with a wider range of third-party tools and platforms would also be beneficial. By focusing on these areas, Splunk APM can enhance its value proposition, improve user satisfaction, and better meet the evolving needs of organizations monitoring their application performance.

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Kalyan Somisetty

Senior Developer at PRESIS KONSULT

Simple, easy to configure, and offers trial versions

In the next version, which I want to try, it'll show the comparison of the old responses of the APS. For example, how much time the old response and the new response with the changes. Right now, I cannot differentiate. The graphical interface should be able to capture nicely how much time it has taken and it should be very clear. Sometimes it confuses us. For example, what is this APA for? What were the average responses and how many requests have happened? It needs to give a clear picture. They should enable request and response capturing in the Stackify user interface to show what the request for the APA is. Then, it'll be very good. It should be able to capture the payload. For example, what is the request and what is the response? If it has a nice way of capturing everything then it would be easy. There is no need of using ELK again for logging. As of now, people will use Stackify or maybe Grafana for seeing the stats of the application or responses, however, it doesn't have the capabilities to show everything. People will go for any exception handling or checking the request and response in the ELK. If Stackify can do this future, then it'll be an easier single tool. It is anyway intercepting the logs, application logs. I don't think it's a big matter to capture extra data with the requested response. That requested response capturing also should be configurable since some people want the question response to be captured and for the people that don't want it, we can use that feature. It can be enabled as desired. Many people are using different monitoring tools like ELK, LogStash, and Splunk - many other tools. However, if you can make this kind of performance tool cover everything, then they will not shift to other solutions. It should be easily scalable and configurable in different instances. For example, if the same application is scaled up to differently, it should be easily integrable into Kubernetes pipelines. They should offer plugins to make it more easily integratable. For development enrollment, it should be free to use.

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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

"Detectors are a powerful feature."

"The most beneficial aspect of Splunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices."

"It is very easy to monitor multiple cloud environments. It's like a single pane of glass for us. We can use it to monitor our on-prem and both of our cloud environments as opposed to having different tools for each environment. It makes it all come together in one tool."

"Splunk's dashboards are great."

"The most valuable features are troubleshooting and optimizing application performance."

"The vibrant dashboards are valuable."

"The product's deployment phase is good and very easy because it is done with OpenTelemetry for most of the parts."

"Great monitoring of network devices."

More Splunk Observability Cloud pros

"The solution is stable and reliable."

"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 deployment is very fast."

Cons

"The security could be better."

"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."

"We have both on-prem and cloud, and the challenge is getting all our log data aggregated or streams aggregated so that it is real-time. We do a pretty good job of that, but our organization is not using it as a security platform when it can do a great job of that."

"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."

"There are always areas for potential improvement to enhance its functionality and user experience."

"There is room for improvement in the alerting system, which is complicated and has less documentation available."

"The product collects a lot of data but it does not assure that it collects all of it."

"It would be beneficial to have more enhanced features with capabilities to adapt more integrated applications. Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired."

More Splunk Observability Cloud 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

"Licensing cost is the biggest argument I get from those divesting from Splunk. There are those within our organization who say we are going to go to other tools since Splunk is too expensive."

"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."

"Splunk has been fairly expensive, but it has been predictable."

"The pricing is reasonable."

"Splunk can be expensive, as its licensing is based on the daily data ingestion volume."

"Splunk Observability Cloud is expensive."

"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."

"The pricing is based on several factors, including the scale of deployment."

More Splunk Observability Cloud 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

Financial Services Firm

16%

Computer Software Company

14%

Government

Manufacturing Company

Financial Services Firm

15%

Computer Software Company

Media Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about SignalFx?

The most valuable feature is dashboard creation.

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What needs improvement with SignalFx?

Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...

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What is your primary use case for SignalFx?

The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...

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Comparisons

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Compared 8% of the time

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Compared 7% of the time

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Compared 5% of the time

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Compared 5% of the time

Dynatrace vs Splunk Observability Cloud

Compared 4% of the time

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New Relic vs Stackify

Compared 46% of the time

Dynatrace vs Stackify

Compared 32% of the time

Splunk Enterprise Security vs Stackify

Compared 22% of the time

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Product Reports

Buyer's Guide

Splunk Observability Cloud

July 2025

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Buyer's Guide

Stackify

July 2025

Download Stackify product report

Also Known As

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

No data available

Overview

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

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

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

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

Buyer's Guide

Splunk Observability Cloud vs. Stackify

August 2025

Free Report: Splunk Observability Cloud vs. Stackify

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