ScienceLogic vs Stackify comparison

ScienceLogic and Stackify are both solutions in the IT Infrastructure Monitoring category. ScienceLogic is ranked #24 with an average rating of 7.4, while Stackify is ranked #57. ScienceLogic holds a 1.8% mindshare in IM, compared to Stackify’s 0.3% mindshare. Additionally, 93% of ScienceLogic users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

ScienceLogic

Read 45 ScienceLogic reviews

2,268 Views
1,665 Comparison Views

93% willing to recommend

Stackify

Read 6 Stackify reviews

449 Views
314 Comparison Views

71% willing to recommend

ScienceLogic

Stackify

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Executive SummaryUpdated on Oct 9, 2024

ScienceLogic and Stackify compete in the IT management and monitoring category. ScienceLogic seems to have the upper hand in scalability and flexibility, making it suitable for larger organizations, while Stackify focuses on application performance monitoring, appealing to development teams.

Features: ScienceLogic's notable features include hybrid IT management, extensive monitoring capabilities, and AI-driven analytics. Stackify offers application performance monitoring, error tracking, and log management.

Room for Improvement: ScienceLogic could improve its ease of deployment for smaller teams, simplify its user interface, and reduce its initial setup complexity. Stackify may enhance its scalability for larger environments, expand its integration capabilities, and increase the depth of its monitoring features.

Ease of Deployment and Customer Service: ScienceLogic provides a robust deployment model for complex environments, requiring significant effort, with customer service efficient in handling queries. Stackify offers simpler deployment for development-focused teams with straightforward integration and proactive support.

Pricing and ROI: ScienceLogic involves higher setup costs but offers extensive features with significant ROI for large-scale deployments. Stackify presents a cost-effective solution with lower initial expenses and substantial value for development teams needing detailed application insights.

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

Buyer's Guide

ScienceLogic 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

ScienceLogic

Ranking in IT Infrastructure Monitoring

24th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Event Monitoring (7th), Unified Communications Monitoring (1st), Network Monitoring Software (27th), Server Monitoring (12th), IT Operations Analytics (7th), Cloud Monitoring Software (19th), AIOps (7th)

Stackify

Ranking in IT Infrastructure Monitoring

57th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (62nd), Log Management (63rd)

Mindshare comparison

As of April 2025, in the IT Infrastructure Monitoring category, the mindshare of ScienceLogic is 1.8%, up from 1.6% compared to the previous year. The mindshare of Stackify is 0.3%, down from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring

Featured Reviews

Michael Wenn

CEO / Co-Founder at Aiops ltd

Offers comprehensive monitoring and tool consolidation but integration complexity needs improvement

There is room for improvement in the speed of setting up the service and integrating PowerPacks. Although these prebuilt features are great, there is considerable complexity in bringing them together to create a unified dashboard. Even with many good integrations and deep visibility, the implementation takes time, especially when it doesn't involve these integrations. While some other companies have easier APIs, using this solution demands significant expertise. It's challenging for new customers to implement independently. The implementation speed of non-PowerPack or non-out-of-the-box integrations should be improved. Additionally, the AI automation feature is not yet very rich due to resource constraints supporting a wide platform.

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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

"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."

"Since it is a SaaS-based product, the setup is not very difficult."

"ScienceLogic allows us to create and customize a user-friendly dashboard."

"The best feature is the highly flexible graphs."

"ScienceLogic's custom enablement, which I can achieve as a Python developer, is unique."

"One of the valuable features is rapid dashboards."

"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."

"The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring."

More ScienceLogic 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

"There are often bugs in new releases."

"Integrating observability and APM monitoring into the overall portfolio would be beneficial."

"There is room for improvement in the speed of setting up the service and integrating PowerPacks."

"I would like to see out-of-the-box standard dashboards for common services."

"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."

"ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services."

"The product is not user-friendly."

"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."

More ScienceLogic cons

"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."

"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

"Pricing between the two is quiet large therefore you can save some money if you don't require to collect all info on each device."

"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."

"It comes with the OS built in, so no need to purchase an OS license or DB license."

"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."

"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."

"I'm not the best person to discuss pricing, but what I do know is that it's a use-and-go structure. You use this much storage and pay this much for it. That's how it is. Every time, we continue to add a large amount of data to the environment."

"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."

"Decide what you want to monitor and only monitor those items. Absorb other elements as you grow."

More ScienceLogic 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%

Financial Services Firm

12%

Government

Manufacturing Company

Financial Services Firm

20%

Computer Software Company

15%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about ScienceLogic?

The tool is quite easy to deploy, and it offers very good support.

See all answers

What is your experience regarding pricing and costs for ScienceLogic?

ScienceLogic is not that expensive and is cost-effective overall.

See all answers

What needs improvement with ScienceLogic?

ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services. If the knowledge for implementation could be spread...

See all answers

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Compared 43% of the time

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Compared 40% of the time

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Compared 17% of the time

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Product Reports

Buyer's Guide

ScienceLogic

March 2025

Download ScienceLogic product report

Buyer's Guide

Stackify

March 2025

Download Stackify product report

Overview

ScienceLogic is a comprehensive IT infrastructure monitoring solution that supports networks, servers, cloud environments, and applications, suitable for private cloud and on-premises deployments.

Organizations leverage ScienceLogic for its robust capabilities in monitoring IT infrastructures of all sizes. It offers granular discovery, integration with CMDB, and ticketing systems. Valued for its flexibility, incident automation, remediation, and real-time relationship mapping, it supports hybrid environments with scalable and efficient monitoring functionalities. AI and machine learning enhance its feature set, while ease of deployment and strong support are crucial benefits.

What are ScienceLogic's most important features?

Agentless Configuration: Ensures easy deployment without the need for agents.
Third-Party Integration: Seamlessly integrates with various tools.
Dynamic Component Mapping: Offers real-time relationship and dependency mapping.
Flexible Graphs: Allows custom visual representation of data.
Role-Based Access: Provides tiered access for different user roles.
Infrastructure and Event Management: Efficiently monitors hybrid environments.

What benefits and ROI should users look for?

Scalability: Handles environments of all sizes efficiently.
AI and Machine Learning: Enhances automation and incident management.
Ease of Deployment: Streamlines initial setup and reduces time to value.
Customization: Custom dashboards and reports cater to specific needs.
Comprehensive Support: Access to excellent support services.

ScienceLogic is implemented across multiple industries, including large enterprises, for its capability to handle complex IT ecosystems. Its integration with CMDB and ticketing systems ensures it fits within existing workflows. Organizations use it to monitor diverse infrastructure landscapes, ensuring seamless performance and quick incident resolution.

ScienceLogic

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

Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell

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

Buyer's Guide

ScienceLogic vs. Stackify

April 2025

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