Stackify vs Sumo Logic Observability comparison

Stackify and Sumo Logic are both solutions in the Application Performance Monitoring (APM) and Observability category. Stackify is ranked #63, while Sumo Logic is ranked #47 with an average rating of 7.0. Stackify holds a 0.7% mindshare in APM, compared to Sumo Logic’s 0.6% mindshare. Additionally, 71% of Stackify users are willing to recommend the solution, compared to 100% of Sumo Logic users who would recommend it.

Stackify

Read 6 Stackify reviews

2,566 Views
1,309 Comparison Views

71% willing to recommend

Sumo Logic Observability

Read 6 Sumo Logic Observability reviews

2,143 Views
1,457 Comparison Views

100% willing to recommend

Stackify

Sumo Logic Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

Stackify and Sumo Logic Observability compete in the observability tools category. Sumo Logic Observability has the upper hand due to its robust features, which users find worth the extra expense.

Features: Stackify's valuable features include comprehensive application performance monitoring, log management, and intuitive navigation. Sumo Logic Observability offers advanced analytics capabilities, seamless integration with other tools, and extensive dashboarding options.

Room for Improvement: Users suggest Stackify could improve scalability, error detection accuracy, and technical enhancements. Sumo Logic users indicate a need for better customer support, improved performance consistency, and service-related improvements.

Ease of Deployment and Customer Service: Stackify is noted for its straightforward deployment process and proactive customer service. Sumo Logic Observability offers more configuration options but presents a steeper learning curve, with extensive documentation assisting with deployment challenges.

Pricing and ROI: Stackify users find its setup cost economical and appreciate the clear ROI from its monitoring capabilities. Sumo Logic Observability, although more expensive to set up, delivers significant value through its advanced features and insights, justifying the investment.

To learn more, read our detailed Stackify vs. Sumo Logic Observability Report (Updated: April 2026).

Buyer's Guide

Stackify vs. Sumo Logic Observability

April 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

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

63rd

Average Rating

7.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (66th), Log Management (58th)

Sumo Logic Observability

Ranking in Application Performance Monitoring (APM) and Observability

47th

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (35th), AIOps (21st)

Mindshare comparison

As of May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Stackify is 0.7%, up from 0.2% compared to the previous year. The mindshare of Sumo Logic Observability is 0.6%, 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 (%)
Sumo Logic Observability	0.6%
Stackify	0.7%
Other	98.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

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.

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Shamshir Nangla

Site Reliability Engineer at LHV Bank

Getting up and running is easy, even for a newbie but management of searches definitely needs improvement

Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

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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 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."

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

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

"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."

"The deployment is very fast."

"The solution is stable and reliable."

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

More Stackify pros

"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."

"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."

"I have not seen any stability issues in the product."

"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."

"The product is easy to learn."

"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."

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."

"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."

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

"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."

"Better mobile support."

More Stackify cons

"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."

"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."

"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."

"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."

"Fine-grained data can be quite frustrating to work with and should be made easier."

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."

"I started on the free tier to try it out, but because of our usage, we're now paying for it."

"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."

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Top Industries

By visitors reading reviews

Construction Company

19%

Comms Service Provider

15%

Media Company

Performing Arts

Financial Services Firm

16%

Construction Company

14%

Manufacturing Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

Questions from the Community

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Earn 20 points

What needs improvement with Sumo Logic Observability?

The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...

See all answers

What is your primary use case for Sumo Logic Observability?

We used it for log observability – log aggregation specifically.

See all answers

What advice do you have for others considering Sumo Logic Observability?

I would advise to have a demo with them to understand the pricing. Sumo Logic Observability used to charge per data ingest, but now they charge by queries, making it difficult to estimate the cost ...

See all answers

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Compared 5% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Stackify

April 2026

Download Stackify product report

Buyer's Guide

Sumo Logic Observability

April 2026

Download Sumo Logic Observability product report

Overview

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

Sumo Logic Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.

Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.

What features make Sumo Logic Observability effective?

Well-Crafted Dashboards: Customizable options for monitoring.
Flexible Query Language: Allows detailed log searches.
Centralized Management: Enables teams to work on one platform.
Near-Real-Time Updates: Enhances timely incident resolution.
Custom Field Creation: Facilitates user-specific data requirements.

How does Sumo Logic Observability benefit organizations?

Unified Platform: Brings teams together for streamlined operations.
Enhanced Integrations: Improves log search accuracy.
Tailored for SIEM: Supports security needs with efficient log management.
Efficient Data Monitoring: Automates processes for ease of management.
Scalability: Handles large data volumes efficiently.

Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.

Sumo Logic

Sample Customers

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

Information Not Available

Buyer's Guide

Stackify vs. Sumo Logic Observability

April 2026

Free Report: Stackify vs. Sumo Logic Observability

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