Graylog vs Stackify comparison

Graylog and Stackify are both solutions in the Log Management category. Graylog is ranked #15 with an average rating of 7.0, while Stackify is ranked #62. Graylog holds a 6.7% mindshare in Log Management, compared to Stackify’s 0.1% mindshare. Additionally, 95% of Graylog users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Graylog

Read 20 Graylog reviews

9,558 Views
8,433 Comparison Views

95% willing to recommend

Stackify

Read 6 Stackify reviews

209 Views
145 Comparison Views

71% willing to recommend

Graylog

Stackify

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Executive SummaryUpdated on Oct 9, 2024

Stackify and Graylog compete in the log management solutions category. Stackify appears to have an upper hand with ease of deployment and customer support, while Graylog is favored for its comprehensive features catering to advanced needs.

Features: Stackify includes detailed application performance monitoring, ease of integration, and real-time alerting. Graylog offers powerful log data storage, high customizability, and efficient search capabilities.

Room for Improvement: Stackify users desire enhancements in UI responsiveness during peak loads, more dashboard customization options, and refined alerting thresholds. Graylog users seek a smoother initial configuration process, better documentation, and enhanced onboarding experiences.

Ease of Deployment and Customer Service: Stackify is noted for straightforward deployment and responsive customer service, contributing to faster implementation. Graylog's setup is more complex but is supported by a knowledgeable team though occasionally criticized for slow response times.

Pricing and ROI: Stackify offers competitive pricing with solid ROI, emphasizing its monitoring capabilities. Graylog prices reflect its extensive features, providing high ROI for complex needs despite higher setup costs.

To learn more, read our detailed Graylog vs. Stackify Report (Updated: April 2025).

Buyer's Guide

Graylog vs. Stackify

April 2025

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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

Ranking in Log Management

15th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Stackify

Ranking in Log Management

62nd

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (62nd), IT Infrastructure Monitoring (58th)

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of Graylog is 6.7%, up from 5.8% compared to the previous year. The mindshare of Stackify is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

Ivan Kokalovic

DevOps Engineer at Proton Technologies

Facilitates backend service monitoring with efficient log retrieval and API flexibility

Graylog is valuable because it bridges technical knowledge to non-technical teams, presenting complex backend processes in a simple timeline. It boosts the knowledge of sales and customer support teams by allowing them to see the backend operations without needing to read the code. Its API is flexible for visualization, and its powerful search engine efficiently handles large volumes of log data. Moreover, its stability, fast search capabilities, and compatibility with languages like ANSI SQL enhance its utility in IT infrastructure.

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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

"We run a containerized microservices environment. Being able to set up streams and search for errors and anomalies across hundreds of containers is why a log aggregation platform like Graylog is valuable to us."

"What I like about Graylog is that it's real-time and you have access to the raw data. So, you ingest it, and you have access to every message and every data item you ingest. You can then build analytics on top of that. You can look at the raw data, and you can do some volumetric estimations, such as how big traffic you have, how many messages of data of a type you have, etc."

"The product is scalable. The solution is stable."

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

"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."

"Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature."

"Message forwarding through the in-built module."

"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."

More Graylog 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."

"The deployment is very fast."

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

"The solution is stable and reliable."

Cons

"Dashboards, stream alerts and parsing could be improved."

"Its scalability gets complicated when we have to update or edit multiple nodes."

"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."

"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."

"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."

"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."

"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."

"I would like to see some kind of visualization included in Graylog."

More Graylog cons

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

"The search feature could be improved."

"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."

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

Pricing and Cost Advice

"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."

"I use the free version of Graylog."

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

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

"It's an open-source solution that can be used free of charge."

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

"There is an open source version and an enterprise version. I wouldn't recommend the enterprise version, but as an open source solution, it is solid and works really well."

More Graylog 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

18%

Comms Service Provider

10%

Educational Organization

Government

Financial Services Firm

19%

Computer Software Company

16%

Media Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Graylog?

The product is scalable. The solution is stable.

See all answers

What is your experience regarding pricing and costs for Graylog?

We are using the free version of the product. However, the paid version is expensive.

See all answers

What needs improvement with Graylog?

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. P...

See all answers

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Product Reports

Buyer's Guide

Graylog

April 2025

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Buyer's Guide

Stackify

April 2025

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Also Known As

Graylog2

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Overview

Graylog is purpose-built to deliver the best log collection, storage, enrichment, and analysis. Graylog is:

Considerably faster analysis speeds.
More robust and easier-to-use analysis platform.
Simpler administration and infrastructure management.
Lower cost than alternatives.
Full-scale customer service.
No expensive training or tool experts required.

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 vs. Stackify

April 2025

Free Report: Graylog vs. Stackify

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