Splunk Observability Cloud vs Stackify comparison

Why PeerSpot?

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 2.6% mindshare in APM, compared to Stackify’s 0.8% mindshare. Additionally, 96% of Splunk users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Splunk Observability Cloud

Read 106 Splunk Observability Cloud reviews

32,936 Views
16,797 Comparison Views

96% willing to recommend

Stackify

Read 6 Stackify reviews

4,813 Views
2,503 Comparison Views

71% willing to recommend

Splunk Observability Cloud

Stackify

Comparison Buyer's Guide

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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: November 2026).

Buyer's Guide

Splunk Observability Cloud vs. Stackify

November 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

2nd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

106

Ranking in other categories

Network Monitoring Software (5th), Cloud Monitoring Software (2nd), Container Management (10th), 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 (56th)

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Splunk Observability Cloud is 2.6%, up from 2.0% compared to the previous year. The mindshare of Stackify is 0.8%, up from 0.4% 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	2.6%
Stackify	0.8%
Other	96.6%

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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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

"The value was visible to the relevant audience as soon as we started the implementation, where it took the people a lot of manual efforts and time to diagnose their systems, they were able to get automated insights as an available feature within Splunk Observability Cloud."

"The best feature of this product is the latency and processing of all the telemetry that is being received, which gives full visibility at the right time."

"The other teams, the problems they had with the other monitoring tools, I feel have been solved with Splunk Observability Cloud to some extent, so that is going well so far."

"The vibrant dashboards are valuable."

"I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability."

"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."

"It has been beneficial for our IT infrastructure."

"Great monitoring of network devices."

More Splunk Observability Cloud pros

"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."

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

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

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

"The deployment is very fast."

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

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

More Stackify pros

Cons

"To improve Splunk Observability Cloud, we need more applications to be included in the observability so that more applications can have agents to monitor them and bring that information to the cloud."

"The UI enhancements could be a way to improve the solution in the future."

"Regarding the negative side, I think the licensing can be much better because it is based upon host units and there is additional licensing for the number of traces that I can bring in."

"They can get more integration with a few more products. They can also update some of the dashboards that are in there now."

"Splunk Observability Cloud experienced a significant outage recently when it went down for approximately five to six hours."

"The end-to-end visibility is lacking because Splunk cannot directly monitor network devices."

"Splunk Observability Cloud could be improved with better integration with AppDynamics, as we know that's coming, however, it is an issue we've had between the OpenTelemetry and the AppDynamics collector."

"The cardinality is pretty low."

More Splunk Observability Cloud cons

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

"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."

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

"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."

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

"Better mobile support."

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

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

More Stackify cons

Pricing and Cost Advice

"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."

"It is expensive."

"It appears to be expensive compared to competitors."

"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."

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

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

"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."

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

Outsourcing Company

Comms Service Provider

20%

Construction Company

19%

Outsourcing Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	38
Midsize Enterprise	9
Large Enterprise	70

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

Datadog vs Splunk Observability Cloud

Compared 3% of the time

Grafana vs Splunk Observability Cloud

Compared 2% of the time

PRTG Network Monitor vs Splunk Observability Cloud

Compared 2% of the time

Avantra vs Splunk Observability Cloud

Compared 2% of the time

Dynatrace vs Splunk Observability Cloud

Compared 2% of the time

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OpenText SiteScope vs Stackify

Compared 6% of the time

New Relic vs Stackify

Compared 6% of the time

OpenText Real User Monitoring vs Stackify

Compared 6% of the time

Dynatrace vs Stackify

Compared 6% of the time

Splunk Enterprise Security vs Stackify

Compared 5% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

Splunk Observability Cloud

October 2026

Download Splunk Observability Cloud product report

Buyer's Guide

Stackify

October 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 provides advanced real-time monitoring and AI-powered insights, streamlining operations and reducing downtime across diverse computing environments.

Offering powerful tools for real-time monitoring, Splunk Observability Cloud enhances performance visibility and operational resilience through AI insights and comprehensive dashboards. With No-Sample Tracing and customizable alerts, it allows quick issue detection and resolution. Its user-friendly interface and seamless integration facilitate troubleshooting and decision-making. The platform's unified infrastructure is equipped for environments like Kubernetes, ensuring stability and efficiency. Users report reduced downtime and increased transparency.

What are the key features of Splunk Observability Cloud?

Real-Time Monitoring: Provides continuous visibility into infrastructure and applications.
AI-Powered Insights: Enhances decision-making with intelligent data analysis.
Comprehensive Dashboards: Offers customizable views for deep data insights.
No-Sample Tracing: Ensures accurate monitoring without missing critical data.
Customizable Alerts: Allows setting specific parameters for immediate issue detection.
Seamless Integration: Connects easily with systems to support diverse environments.

What benefits can users expect?

Reduced MTTR: Quicker mean time to resolution through effective monitoring tools.
Enhanced Performance Transparency: Improved visibility into system performance metrics.
Operational Resilience: Strengthens system stability through proactive monitoring.
Improved Troubleshooting: Streamlined process leads to faster problem-solving.
Increased Stability: Helps maintain consistent performance across environments.
Boosted Efficiency: Optimizes operational processes with sophisticated tools.

Splunk Observability Cloud is widely used for monitoring cloud infrastructures and microservices, optimizing AI applications, and enhancing application performance. It's integral in environments requiring real-time alerts, anomaly detection, and multi-cloud management, supporting use cases like infrastructure and application performance monitoring. Users leverage its capabilities for end-to-end visibility, focusing on metrics, logs, and traces for rapid problem-solving and performance assessment.

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

November 2026

Free Report: Splunk Observability Cloud vs. Stackify

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