Splunk Observability Cloud vs Stackify comparison

Splunk and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Splunk is ranked #5 with an average rating of 8.2, while Stackify is ranked #62. Splunk holds a 2.5% mindshare in APM, compared to Stackify’s 0.7% mindshare. Additionally, 95% of Splunk users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Splunk Observability Cloud

Read 89 Splunk Observability Cloud reviews

21,908 Views
11,173 Comparison Views

95% willing to recommend

Stackify

Read 6 Stackify reviews

3,563 Views
1,888 Comparison Views

71% willing to recommend

Splunk Observability Cloud

Stackify

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Executive SummaryUpdated on Mar 29, 2026

Stackify and Splunk Observability Cloud compete in monitoring and analysis solutions. Splunk Observability Cloud seems to have the upper hand with its comprehensive feature set and advanced analytics capabilities.

Features: Stackify offers application performance monitoring, log management, and error tracking tailored for developers. Splunk Observability Cloud provides robust analytics, real-time metrics tracking, and AI-driven insights for deeper visibility into complex systems.

Room for Improvement: Stackify could enhance scalability for larger operations, improve data visualization capabilities, and integrate more advanced analytics features. Splunk Observability Cloud might benefit from simplified initial setup, improved cost-efficiency, and enhanced user interface customization options.

Ease of Deployment and Customer Service: Stackify provides a faster, more straightforward deployment process and accessible customer service for developers. Splunk Observability Cloud requires more setup time but offers well-structured support and extensive documentation for large enterprises.

Pricing and ROI: Stackify presents an affordable entry point with scalable pricing that aligns with small business budgets. Splunk Observability Cloud, though higher in cost, delivers significant ROI through powerful analytics, justifying the investment for comprehensive system insights.

To learn more, read our detailed Splunk Observability Cloud vs. Stackify Report (Updated: August 2026).

Buyer's Guide

Splunk Observability Cloud vs. Stackify

August 2026

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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

5th

Ranking in IT Infrastructure Monitoring

4th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Network Monitoring Software (7th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (3rd)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

62nd

Ranking in IT Infrastructure Monitoring

68th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Log Management (58th)

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Splunk Observability Cloud is 2.5%, up from 2.0% compared to the previous year. The mindshare of Stackify is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	2.5%
Stackify	0.7%
Other	96.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

Unified observability has improved real-time governance and now drives data-led decisions

Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

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Idoko Emmanuel

Senior Software Engineer at a tech services company with 1,001-5,000 employees

Has good filtering and rating features and helps with resource and load management

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.

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

"Splunk APM has helped us to standardize logging and monitoring procedures."

"The integration of business context in the telemetry has helped to reduce MTTR by fifty percent, which has been the key metric."

"It supports proactive management, enhances security, and improves operational efficiency."

"The dashboards are the features of Splunk Observability Cloud that I appreciate the most, providing visual representation of all data and text, which has benefited my organization by speeding up people's jobs and allowing a place to monitor all logs, as there are usually thousands of entries coming in which can become very disorderly."

"The most valuable features include user time tracking and the ability to analyze application load times."

"We are now able to monitor our infrastructure and get the information in real-time should anything happen."

"The product retains a lot of log data for subsequent analysis."

"It's starting to help reduce our Mean Time to Detect (MTDD) because the visibility we gain is unprecedented, allowing us insight into applications that we've never had before."

More Splunk Observability Cloud pros

"What stood out to us were the metrics and granular details we received."

"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."

"The deployment is very fast."

"The solution is stable and reliable."

"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."

"It is very simple and very easy to configure."

"We switched from New Relic and Loggly as it provides us more info at a lower price."

More Stackify pros

Cons

"In terms of additional features I would want to see in future releases, since Cisco acquired Splunk, more Cisco integration could be beneficial."

"The pricing would be one area for improvement."

"They do not have all the features that I expect right now."

"If it is a new deployment and you have a medium client with about 2,000 users or computers or servers, it will take about six months just to install and configure."

"The learning curve for understanding all features should be improved, and the cost can increase."

"The solution should have more sensors regarding fiber intelligence for security measures."

"There are some predefined metrics.......we may want to create customized metrics."

"We never had any issues when it comes to the type of use cases we are using it for. We did not need more advancement on it, but I know that, in general, everything can be updated. There are tiny little tweaks that can be made regardless of whether it looks better or has a different flow to it than it does right now, but it works pretty well for what we use it for."

More Splunk Observability Cloud cons

"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."

"Better mobile support."

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

"It's not easy to set up. It's hard especially for juniors to understand."

"I'm looking to see more performance tools, but heard that they are going to release some."

"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."

"Another improvement would be the agent memory utilization, which led to our recent reevaluation."

More Stackify cons

Pricing and Cost Advice

"The product is a bit expensive considering the competition but the company may negotiate the price."

"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."

"It is expensive."

"The price of Splunk APM is less than some of its competitors."

"The pricing is reasonable."

"Splunk Observability Cloud is expensive."

"It appears to be expensive compared to competitors."

"The solution's pricing is costly."

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

11%

Manufacturing Company

Construction Company

Computer Software Company

Construction Company

21%

Comms Service Provider

13%

Outsourcing Company

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	9
Large Enterprise	56

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

Questions from the Community

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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What advice do you have for others considering SignalFx?

We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...

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Comparisons

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Compared 3% of the time

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Compared 2% of the time

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Compared 2% of the time

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Compared 7% of the time

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Compared 6% of the time

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Compared 6% of the time

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Compared 5% of the time

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Compared 2% of the time

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Product Reports

Buyer's Guide

Splunk Observability Cloud

July 2026

Download Splunk Observability Cloud product report

Buyer's Guide

Stackify

July 2026

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 enhances application performance monitoring with features like detailed logging and effective filtering options, integrating capabilities to eliminate the need for multiple tools, and providing rapid deployment and stable performance.

Stackify offers a comprehensive solution for business insight through custom dashboards, error monitoring, load management, and application scoring. Its ability to visualize performance by creating responsive dashboards helps connect business and technical teams. Despite its strengths, users seek improvements such as better mobile support, real-time log appearance, and Docker documentation. Enhanced Linux support and agent memory optimization are also desired, along with better visibility into container and application performance metrics. Integrating more plugins and options would make Stackify a more robust monitoring tool.

What are the key features of Stackify?

Detailed Log and Error Data: Provides in-depth traces and logs for error and data analysis.
Custom Dashboards: Offers business insights and application scoring through tailored dashboards.
Performance Metrics: Monitors application and server performance effectively.
Simple Configuration: Ensures easier setup and deployment without complexities.
Filtering Options: Enables effective management of logs and errors through filters.

What benefits should be expected from using Stackify?

Improved Performance Monitoring: Provides tools to identify root causes and enhance application and server monitoring.
Resource Management: Manages server utilization and handles resource spikes efficiently.
Proactive Alerts: Allows setting up alerts across platforms like AWS and Docker.
Log Aggregation: Compiles logs for testing and analysis to improve system performance.

Organizations across industries use Stackify for extensive application performance monitoring, particularly in testing environments. It is crucial for analyzing database calls, third-party requests, and aggregating logs. Its capabilities in monitoring across AWS and Docker environments make it especially valuable for dynamic and distributed infrastructures.

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 2026

Free Report: Splunk Observability Cloud vs. Stackify

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