Logstash vs Stackify comparison

Elastic and Stackify are both solutions in the Log Management category. Elastic is ranked #24 with an average rating of 9.0, while Stackify is ranked #58. Elastic holds a 0.7% mindshare in Log Management, compared to Stackify’s 0.2% mindshare. Additionally, 75% of Elastic users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Logstash

Read 5 Logstash reviews

836 Views
836 Comparison Views

75% willing to recommend

Stackify

Read 6 Stackify reviews

936 Views
262 Comparison Views

71% willing to recommend

Logstash

Stackify

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Logstash and Stackify based on real PeerSpot user reviews.

Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

Logstash vs. Stackify

September 2025

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Helped 869,760 peers since 2012

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

Logstash

Ranking in Log Management

24th

Average Rating

9.0

Reviews Sentiment

5.6

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 (60th), IT Infrastructure Monitoring (59th)

Mindshare comparison

As of October 2025, in the Log Management category, the mindshare of Logstash is 0.7%, up from 0.4% compared to the previous year. The mindshare of Stackify is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Logstash	0.7%
Stackify	0.2%
Other	99.1%

Log Management

Featured Reviews

PRANIL CHANDARKAR

Associate Consultant at a computer software company with 1,001-5,000 employees

Open-source accessibility and ease of implementation empower adaptable log management

As both a customer and an integrator, I think the best features in Logstash are that people prefer it because it is open to all, as it is an open-source version. The functionality of Logstash is quite easy to implement. I can say that the plugin ecosystem of Logstash is great. I have used some plugins for shell script monitoring and for SQL monitoring, and these are all working well with Logstash. The real-time processing capabilities of Logstash are also pretty fine with the tool. When I use the community edition, I have to do many things manually. If I am using enterprise Elastic, then that is taken care of by the Elastic native machine learning.

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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 transformation means we ship the logs in the way that we want them to be presented in Kibana, which is the main function we use Logstash for."

"We have three or four Logstash servers for high availability."

"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."

"I can collect logs from various data sources, including hardware."

"Everything aligns well with improving our organization."

"The solution is stable and reliable."

"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."

Cons

"The product needs to improve its compatibility."

"We still have a problem with importing the log system."

"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."

"Almost all the research can be very bad. We still have a problem with importing the log system."

"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."

"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."

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

"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."

Pricing and Cost Advice

Information not available

"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

16%

Computer Software Company

12%

Government

University

Financial Services Firm

14%

Media Company

Comms Service Provider

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What do you like most about Logstash?

I can collect logs from various data sources, including hardware.

See all answers

What needs improvement with Logstash?

Customization can be automated with Logstash, but it is at the developer's disposal. The developer has to do it, not the tool as such. There is scope for optimization, but that is all outside the t...

See all answers

What is your primary use case for Logstash?

The purposes for which I am using Logstash largely include log aggregation and application monitoring.

See all answers

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Product Reports

Buyer's Guide

Log Management

October 2025

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Buyer's Guide

Stackify

September 2025

Download Stackify product report

Overview

Logstash is a versatile data processing pipeline that ingests data from multiple sources, transforms it, and sends it to preferred destinations, enabling seamless data utilization across systems.

Logstash provides an efficient and flexible way to manage data flow, supporting diverse input sources and offering a rich set of plugins. Its real-time processing capability and ease of integration with Elasticsearch make it advantageous for businesses looking to enhance data analytics. While valuable, Logstash can benefit from improvements like scalability enhancements and more robust error-handling mechanisms.

What are the key features of Logstash?

Input Plugin Support: Connects to a wide range of data sources for seamless ingestion.
Filter Plugin: Processes and enriches logs before output.
Output Plugin Flexibility: Delivers data to various endpoints efficiently.
Real-Time Pipeline: Processes data in real-time for immediate insights.

What benefits does Logstash provide?

Enhanced Data Processing: Streamlines data ingestion and transformation workflows.
Improved Analytics: Facilitates deeper insights through seamless Elasticsearch integration.
Cost Efficiency: Reduces total expenses by optimizing data handling processes.
Scalability: Adapts to diverse data volumes and use cases.

Industries like finance and e-commerce leverage Logstash for managing extensive log data and improving decision-making by feeding enriched data into analytics platforms. Its ability to handle diverse formats and integrate with Elastic Stack has proven crucial in implementing comprehensive data strategies.

Elastic

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

Information Not Available

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

Buyer's Guide

Logstash vs. Stackify

September 2025

Free Report: Logstash vs. Stackify

Find out what your peers are saying about Logstash vs. Stackify and other solutions. Updated: September 2025.

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