Logpoint vs Stackify comparison

Logpoint and Stackify are both solutions in the Log Management category. Logpoint is ranked #34 with an average rating of 7.5, while Stackify is ranked #58. Logpoint holds a 0.5% mindshare in Log Management, compared to Stackify’s 0.2% mindshare. Additionally, 85% of Logpoint users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

Logpoint

Read 23 Logpoint reviews

1,892 Views
908 Comparison Views

85% willing to recommend

Stackify

Read 6 Stackify reviews

936 Views
262 Comparison Views

71% willing to recommend

Logpoint

Stackify

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Executive SummaryUpdated on Oct 9, 2024

Stackify and Logpoint are two prominent solutions in system monitoring and log management. Based on the assessments, Logpoint appears superior due to its comprehensive features and functionality.

Features: Stackify is noted for its robust application performance management, real-time log analytics, and quick issue resolution capabilities. Logpoint stands out with its advanced threat detection, comprehensive compliance reporting, and enhanced security insights.

Room for Improvement: Stackify users often seek better customization, enhanced integration with third-party tools, and improved reporting features. Logpoint users suggest enhancing reporting flexibility, increasing data processing speed, and simplifying the user interface.

Ease of Deployment and Customer Service: Stackify is praised for easy deployment and responsive support, making integration swift. Logpoint, although complex in setup, offers extensive documentation and training to equip users for successful implementation.

Pricing and ROI: Stackify provides competitive pricing, appealing to budget-conscious users while maintaining core functionalities that may offer quicker ROI. Logpoint, with its higher setup costs, is justifiable through its extensive features and security benefits, providing long-term ROI.

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

Buyer's Guide

Logpoint vs. Stackify

September 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

Logpoint

Ranking in Log Management

34th

Average Rating

7.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (31st), User Entity Behavior Analytics (UEBA) (12th), Endpoint Detection and Response (EDR) (45th), Security Orchestration Automation and Response (SOAR) (18th)

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 Logpoint is 0.5%, up from 0.5% 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 (%)
Logpoint	0.5%
Stackify	0.2%
Other	99.3%

Log Management

Featured Reviews

Abdullah Secca

Cyber Security Analyst at Pacific Propeller

Valuable monitoring and integration features boost compliance

They are not in the US market, and the quality of support has declined. They migrated operations from Boston to Denmark, and we cannot use a tool hosted outside the country. Additionally, dealing with foreign entities for support was a challenge, leading us to switch providers due to lack of adequate support.

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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The UEBA component, as well as the SOAR component, are some of the most valuable features of Logpoint."

"The most valuable features are the ones that we use the most, which are the search and report facilities."

"It is a very comprehensive solution for gathering data. It has got a lot of capabilities for collecting logs from different systems. Logs are notoriously difficult to collect because they come in all formats. LogPoint has a very sophisticated mechanism for you to be able to connect to or listen to a system, get the data, and parse it. Logs come in text formats that are not easily parseable because all logs are not the same, but with LogPoint, you can define a policy for collecting the data. You can create a parser very quickly to get the logs into a structured mechanism so that you can analyze them."

"We like the user and entity behaviour analytics (UEBA) and find it valuable."

"The technical support for Logpoint is very good, and I would rate it as nine out of ten."

"In my experience with medium-sized operations, LogPoint's scalability is excellent, so I would rate it a ten out of ten."

"What I like best about LogPoint is its cost-effectiveness compared to other solutions. LogPoint also has better dashboards which I find valuable. I also like that you can create use cases based on your assets."

"Log collection, dashboards and reporting are good."

More Logpoint 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 solution is stable and reliable."

"The deployment is very fast."

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

Cons

"The thing that makes it a little bit challenging is when you run into a situation where you have logs that are not easily parsable. If a log has a very specific structure, it is very easy to parse and create a parser for it, but if a log has a free form, meaning that it is of any length or it can change at any time, handling such a log is very challenging, not just in LogPoint but also in everything else. Everybody struggles with that scenario, and LogPoint is also in the same boat. One-third of logs are of free form or not of a specific length, and you can run into situations where it is almost impossible to parse the log, even if they try to help you. It is just the nature of the beast."

"Log management could be better because transporting the log from a password to the client system takes time."

"The documentation part is something that needs to be improved, as well as the threat intelligence investigation part."

"I would rate the stability of Logpoint as a six out of ten. I have received reports indicating glitches and downtimes with Logpoint."

"LogPoint can improve its dashboards. We are not able to customize the dashboard when creating them. They only have preset dashboards which do not have exactly what we are looking for."

"It is complicated to collect daily logs from other systems."

"The general public wasn't looking for that type of product unless you had a company that was medical or financial and needed 24-hour responsiveness."

"Dashboards could be developed further."

More Logpoint 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."

"The search feature could be improved."

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

Pricing and Cost Advice

"It's getting more expensive, which is one of the reasons we're looking around just to see if there's anything better value."

"It was on a yearly basis at about $100K. It was not a huge environment. We were running it on our own virtual server environment, which, of course, had a cost. There was hardware and some energy cost, and then there were Microsoft Windows licenses for servers. That's all, but there was nothing in comparison to the licensing costs."

"For a hundred user deployment the cost is about $10,000. The next year it would be the same because it's a subscription-based license. There are separate costs as well, for example, if a customer asks for training for their staff."

"It's less expensive than the competitors. The Logpoint marketing team is very accommodating and client-friendly. They offer very good reductions in price. They are pretty good in this aspect. They are transparent in their licensing and pricing."

"On a scale of one to ten, where one is cheap, and ten is expensive, I would rate LogPoint's pricing a seven. It is not very expensive compared to some of the more costly products, and it is not very cheap compared to some of the cheaper products in the SIEM market."

"Our licensing fees are about $10,000 USD per month, which I think is fair."

"It has a fixed price, which is what I like about LogPoint. I bought the system and paid for it, and I pay maintenance. It is not a consumption model. Most SIEMs or most of the log management systems are consumption-based, which means that you pay for how many logs you have in the system. That's a real problem because logs can grow very quickly in different circumstances, and when you have a variable price model, you never know what you're going to pay. Splunk is notoriously expensive for that reason. If you use Splunk or QRadar, it becomes expensive because there are not just the logs; you also have to parse the logs and create indexes. Those indexes can be very expensive in terms of space. Therefore, if they charge you by this space, you can end up paying a significant amount of money. It can be more than what you expect to pay. I like the fact that LogPoint has a fixed cost. I know what I'm going to pay on a yearly basis. I pay that, and I pay the maintenance, and I just make it work."

"LogPoint seemed like it was a good product, but it was expensive and there wasn't any room to move the pricing when customers needed a lower-costing solution."

More Logpoint 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

26%

Manufacturing Company

10%

Comms Service Provider

University

Financial Services Firm

14%

Media Company

Comms Service Provider

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	3
Large Enterprise	4

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

Questions from the Community

What do you like most about LogPoint?

The solution is user-friendly.

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What is your experience regarding pricing and costs for LogPoint?

I rate the pricing at eight, suggesting it's relatively good or affordable.

See all answers

What needs improvement with LogPoint?

Logpoint needs to be cloud-native, as currently, it is not. Additionally, there should be compliance mapping, where the features and actions within Logpoint map to security compliance standards.

See all answers

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Comparisons

Wazuh vs Logpoint

Compared 19% of the time

Splunk Enterprise Security vs Logpoint

Compared 17% of the time

IBM Security QRadar vs Logpoint

Compared 13% of the time

Elastic Security vs Logpoint

Compared 12% of the time

Microsoft Sentinel vs Logpoint

Compared 8% of the time

More Logpoint Competitors

New Relic vs Stackify

Compared 46% of the time

Dynatrace vs Stackify

Compared 23% of the time

Splunk Enterprise Security vs Stackify

Compared 18% of the time

Datadog vs Stackify

Compared 14% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

Logpoint

September 2025

Download Logpoint product report

Buyer's Guide

Stackify

September 2025

Download Stackify product report

Overview

Logpoint is a cutting-edge security information and event management (SIEM) solution that is designed to be intuitive and flexible enough to be used by an array of different businesses. It is capable of expanding according to its users' needs.

Benefits of Logpoint

Some of the benefits of using Logpoint include:

Unifies data logs: Logpoint creates a single system of classification for collected data. It makes it easy for users to search for and find data, which aids users when they are creating reports or alerts. Users can conserve resources while at the same time seeing a rise in the efficiency of their business operations.

Intuitive solution design: Logpoint is designed so that anyone can utilize all of its features, even if they are not an expert in network security. Logpoint’s UI is simple enough that users can utilize it without undergoing extensive training.

Highly flexible: Logpoint is designed so that users can scale it linearly to accommodate projects that are large and complex. This allows users to expand the scope of their projects according to their needs without worrying that their infrastructure won’t be able to handle the increase in size. The solution’s security features can be deployed both on the cloud and in a physical environment.

Simple role-based access security: Logpoint allows administrators to employ Microsoft’s active directory (AD) and a Lightweight Directory Access Protocol to manage user access. These can help administrators protect their systems from being abused or otherwise harmed by bad actors.

Reviews from Real Users

Logpoint is a security and management solution that stands out among its competitors for a number of reasons. Two major ones are its data gathering and artificial intelligence (AI) capabilities. Logpoint enables users to not only gather the data, but also to maximize both the amount of data that can be gathered and its usefulness. It removes many of the challenges that users may face in data collection. The solution allows users to set rules for collection and then it pulls information from sources that meet the rules that have been set. This data is then broken into manageable segments and ordered. Users can then analyze these ordered segments with ease. Additionally, LogPoint utilizes both machine learning and AI technology. Users gain the ability to protect themselves from and if necessary resolve emerging threats as soon as they arise. The AI sets security parameters for a user’s system. These act as a baseline that are triggered and notify the user if anything deviates from the rules that it set up.

The chief infrastructure & security officer at a financial services firm writes, “It is a very comprehensive solution for gathering data. It has got a lot of capabilities for collecting logs from different systems. Logs are notoriously difficult to collect because they come in all formats. Logpoint has a very sophisticated mechanism for you to be able to connect to or listen to a system, get the data, and parse it. Logs come in text formats that are not easily parsed because all logs are not the same, but with Logpoint, you can define a policy for collecting the data. You can create a parser very quickly to get the logs into a structured mechanism so that you can analyze them.”

A. Secca., a Cyber Security Analyst at a transportation company, writes, “It is an AI technology because it is using machine learning technology. So far, there is nothing better out there for UEBA in terms of monitoring endpoints and user activity. It is using machine learning language, so it is right at the top. It provides that capability and monitors all of the user’s activities. It devises a baseline and monitors if there is any deviation from the baseline.”

Logpoint

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

AP Pension, Copenhagen Airports, KMD, Terma, DISA, Danish Crown, Durham City Council, Game, TopDanmark, Lahti Energia, Energi Midt, Synoptik, Eissmann Group Automotive, Aligro, CG50...

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

Buyer's Guide

Logpoint vs. Stackify

September 2025

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