Splunk Observability Cloud vs Stackify comparison

Splunk and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Splunk is ranked #6 with an average rating of 8.3, while Stackify is ranked #60. Splunk holds a 2.3% 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 88 Splunk Observability Cloud reviews

16,217 Views
8,109 Comparison Views

95% willing to recommend

Stackify

Read 6 Stackify reviews

3,081 Views
1,602 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: June 2026).

Buyer's Guide

Splunk Observability Cloud vs. Stackify

June 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

6th

Ranking in IT Infrastructure Monitoring

7th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Network Monitoring Software (7th), Cloud Monitoring Software (5th), Container Management (6th), Digital Experience Monitoring (DEM) (3rd)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

60th

Ranking in IT Infrastructure Monitoring

66th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Log Management (57th)

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Splunk Observability Cloud is 2.3%, up from 1.8% 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	2.3%
Stackify	0.7%
Other	97.0%

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 Observability Cloud has helped improve my operational performance; previously, we used Elastic for similar purposes, and this has allowed us much more visibility into what we're working on with usable dashboards and metrics, which has been awesome."

"Splunk's GUI and dashboard capacity are the most valuable features of Splunk Infrastructure Monitoring."

"Previously, we faced a systematic performance lag of around twenty to thirty percent, which has now reduced to just two to five percent—an improvement we can credibly showcase to our clientele."

"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."

"The ability to create custom dashboards is one of the best features and that's typically why most people deploy Splunk. Users can create dashboards for just about anything."

"Detectors are a powerful feature."

"What I appreciate most about Splunk Observability Cloud is the correlation feature, specifically the ease of correlating logs and issues to those traces to see where within the path of the business function is failing."

"We haven't really experienced any glitches or bugs."

More Splunk Observability Cloud pros

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

"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."

"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."

"The deployment is very fast."

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

"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 solution is stable and reliable."

More Stackify pros

Cons

"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 process terms. These categories of dashboards would be very helpful for customers."

"The feedback is that Splunk Observability Cloud is forcing me to modify my logs that I am ingesting in Splunk Observability Cloud in a specific format."

"We currently lack log analysis capabilities in Splunk APM."

"We were facing some challenges with the stability of Splunk Observability Cloud regarding the login page. It was not working several times and was not accepting SSO authentication."

"Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened."

"Splunk would be better if some tools were integrated to be able to take action on security or network concerns."

"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."

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

More Splunk Observability Cloud cons

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

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

"The search feature could be improved."

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

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

"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."

"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."

More Stackify cons

Pricing and Cost Advice

"This is an expensive solution."

"It appears to be expensive compared to competitors."

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

"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."

"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."

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

"It is expensive."

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

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

13%

Manufacturing Company

Computer Software Company

Construction Company

20%

Comms Service Provider

13%

Media Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	8
Large Enterprise	55

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 8% of the time

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Compared 6% of the time

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Compared 5% of the time

OpenText SiteScope vs Stackify

Compared 4% of the time

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Product Reports

Buyer's Guide

Splunk Observability Cloud

May 2026

Download Splunk Observability Cloud product report

Buyer's Guide

Stackify

May 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

June 2026

Free Report: Splunk Observability Cloud vs. Stackify

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