Graylog Enterprise vs Stackify comparison

Graylog and Stackify are both solutions in the Log Management category. Graylog is ranked #8 with an average rating of 8.0, while Stackify is ranked #58. Graylog holds a 4.1% mindshare in Log Management, compared to Stackify’s 0.6% mindshare. Additionally, 96% of Graylog users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Graylog Enterprise

Read 25 Graylog Enterprise reviews

7,795 Views
7,795 Comparison Views

96% willing to recommend

Stackify

Read 6 Stackify reviews

1,670 Views
601 Comparison Views

71% willing to recommend

Graylog Enterprise

Stackify

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Executive SummaryUpdated on Mar 15, 2026

Stackify and Graylog Enterprise compete in log management and application performance monitoring. Graylog Enterprise has the upper hand due to its comprehensive feature set.

Features: Stackify provides capabilities like application performance monitoring, cloud integration, and error tracking. Graylog Enterprise offers advanced log aggregation, real-time alerts, and high-capacity log management designed for in-depth analysis.

Room for Improvement: Stackify could enhance its feature depth for larger enterprises and expand real-time alert capabilities. Graylog Enterprise might improve ease of use during deployment and broaden integration options with third-party tools. Both could enhance analytics for better actionable insights.

Ease of Deployment and Customer Service: Stackify is known for its smooth deployment process and customer support. Graylog Enterprise provides robust support tailored to enterprise-level needs, though its setup is more complex.

Pricing and ROI: Stackify has competitive pricing suitable for mid-sized companies, offering a good ROI for budget-friendly solutions. Graylog Enterprise's higher setup cost is justified by its extensive capabilities and scalable ROI for large operations.

To learn more, read our detailed Graylog Enterprise vs. Stackify Report (Updated: March 2026).

Buyer's Guide

Graylog Enterprise vs. Stackify

March 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

Graylog Enterprise

Ranking in Log Management

8th

Average Rating

8.0

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Stackify

Ranking in Log Management

58th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (63rd), IT Infrastructure Monitoring (63rd)

Mindshare comparison

As of March 2026, in the Log Management category, the mindshare of Graylog Enterprise is 4.1%, down from 6.4% compared to the previous year. The mindshare of Stackify is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Graylog Enterprise	4.1%
Stackify	0.6%
Other	95.3%

Log Management

Featured Reviews

NicolaeCIornii

Security Officer at JSC "Moldtelecom" S.A.

Log analysis has become clearer and faster but visualization and extensibility still need work

The problem was with the complexity and the cost to add extensions. We found this very expensive to buy another version with additional features. I think that Graylog Enterprise does not have customizable dashboards. I did not see them in Graylog Enterprise because most of the time we used the open source free version, which is limited. I think Graylog Enterprise should improve some things that they have in the paid version and perhaps provide users with a menu that gives examples of parsing logs and draws graphics so that people do not need to improve another system such as Grafana. This would be interesting. When it comes to functionalities, I found the log management in Graylog Enterprise acceptable. It is very simple to use and to collect logs. It has support for different protocols and different ports, and the sidecar is easy to use. However, in visualization, I think it needs to be much better.

Read full review

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

"I am very proud of how very stable the solution is."

"Everything stands out as valuable, including the fact that I can quantify and qualify the logs, create pipelines and process the logs in any way I like, and create charts or data maps."

"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."

"Real-time UDP/GELF logging and full text-based searching."

"The solution's most valuable feature is its new interface."

"Graylog Enterprise has positively impacted my organization by significantly minimizing our workload and making it easier to identify any issues in a service."

"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."

"With Graylog Enterprise, monitoring improved by up to 80 percent because of having all the logs centralized."

More Graylog Enterprise pros

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

"The deployment is very fast."

"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 solution is stable and reliable."

Cons

"I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second."

"Graylog could improve the process of creating rules. We have to create them manually by doing parses and applying them. Other SIEM solutions have basic rules and you can create and get more events of interest."

"Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-"

"More customization is always useful."

"Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt."

"Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."

"We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient."

"When it comes to configuring the processing pipeline, writing the rules can be very tedious, especially since the documentation isn't extensive on how the functions provided for these rules work."

More Graylog Enterprise 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."

"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."

"The search feature could be improved."

Pricing and Cost Advice

"I am using a community edition. I have not looked at the enterprise offering from Graylog."

"Graylog is a free open-source solution. The free version has a capacity limitation of 2 GB daily, if you want to go above this you have to purchase a license."

"You get a lot out-of-the-box with the non-enterprise version, so give it a try first."

"I use the free version of Graylog."

"Consider Enterprise support if you have atypical needs or setup requirements."

"It's open source and free. They have a paid version, but we never looked into that because we never needed the features of the paid version."

"Having paid official support is wise for projects."

"If you want something that works and do not have the money for Splunk or QRadar, take Graylog."

More Graylog Enterprise 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

Computer Software Company

13%

Comms Service Provider

11%

University

Government

Comms Service Provider

13%

Media Company

11%

Performing Arts

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	5
Large Enterprise	10

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

Questions from the Community

What is your experience regarding pricing and costs for Graylog?

I am not sure about the pricing, setup cost, and licensing because that was dealt with by a different team that handled the licensing and procurement.

See all answers

What needs improvement with Graylog?

The documentation for Graylog Enterprise can be improved, as this has been a pain point. I think the visualization aspect of Graylog Enterprise can be made more rich, similar to what we have in Gra...

See all answers

What is your primary use case for Graylog?

I remember using Graylog Enterprise in the past at a software house where we used it for logging. During that time, we were using Graylog Enterprise as a log aggregator, collecting logs from multip...

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Compared 5% of the time

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Compared 10% of the time

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Compared 5% of the time

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Datadog vs Stackify

Compared 5% of the time

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Product Reports

Buyer's Guide

Graylog Enterprise

March 2026

Download Graylog Enterprise product report

Buyer's Guide

Stackify

February 2026

Download Stackify product report

Also Known As

Graylog2

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Overview

Graylog Enterprise, recognized for log collection, real-time search, and enriched data handling, offers an open-source framework that integrates seamlessly with Elasticsearch. Its user-centric interface streamlines data correlation and log aggregation, supporting both backend services and comprehensive monitoring needs.

Graylog Enterprise stands out for its stability and powerful log management capabilities, facilitating efficient log aggregation, real-time updates, and data analytics. Users benefit from its plugin-based alerting, user-friendly interface, and support for microservices, including Docker integration. The ability to search in detail, flexible API integration, and data enrichment features are highly valued. Challenges include collector application issues, desired visualization enhancements, and authentication integration improvements. Users seek advancements in UI customization, backup functions, and easier rule creation.

What are Graylog Enterprise's most important features?

Log Collection: Efficiently aggregates and handles diverse logs.
Real-Time Search: Provides immediate log data access.
Custom Alerts: Plugin-based alerting for tailored notifications.
Dashboard Enhancements: Improved visualization for data insights.
Data Enrichment: Adds value through detailed log analysis.

What benefits and ROI can users expect?

Audit Trail Support: Essential for compliance in financial sectors.
Security Event Correlation: Enables incident analysis and response.
Faster Issue Identification: Speeds up troubleshooting with detailed visualization.
API Flexibility: Seamless integration across systems and environments.
Comprehensive Monitoring: Centralized log management enhances oversight.

In industrial use, Graylog Enterprise is crucial for audit trailing in financial sectors, facilitating security event identification and error monitoring. Backend teams leverage real-time analytics for swift issue resolution, while developers appreciate the comprehensive log visualization enabled by Docker integration for microservice management.

Graylog

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

Blue Cross Blue Shield, eBay, Cisco, LinkedIn, SAP, King.com, Twilio, Deutsche Presse-Agentur

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

Buyer's Guide

Graylog Enterprise vs. Stackify

March 2026

Free Report: Graylog Enterprise vs. Stackify

Find out what your peers are saying about Graylog Enterprise vs. Stackify and other solutions. Updated: March 2026.

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