InfoScale vs Stackify comparison

InfoScale and Stackify are both solutions in the IT Infrastructure Monitoring category. InfoScale is ranked #26 with an average rating of 8.6, while Stackify is ranked #68. InfoScale holds a 0.0% mindshare in IM, compared to Stackify’s 0.7% mindshare. Additionally, 100% of InfoScale users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

InfoScale

Read 9 InfoScale reviews

1,804 Views
18 Comparison Views

100% willing to recommend

Stackify

Read 6 Stackify reviews

3,563 Views
1,496 Comparison Views

71% willing to recommend

InfoScale

Stackify

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Executive Summary

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

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

To learn more, read our detailed InfoScale vs. Stackify Report (Updated: August 2026).

Buyer's Guide

InfoScale vs. Stackify

August 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

InfoScale

Ranking in IT Infrastructure Monitoring

26th

Average Rating

8.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (19th), High Availability Clustering (1st), Disaster Recovery (DR) Software (14th), Data Storage for Kubernetes (2nd), Autonomous Operational Resilience (4th)

Stackify

Ranking in IT Infrastructure Monitoring

68th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (62nd), Log Management (58th)

Mindshare comparison

As of August 2026, in the IT Infrastructure Monitoring category, the mindshare of InfoScale is 0.0%. The mindshare of Stackify is 0.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
InfoScale	0.0%
Stackify	0.7%
Other	99.3%

IT Infrastructure Monitoring

Featured Reviews

TABISH JAVED

Site Reliability Engineer (Certified) at Kyndryl India

Automated recovery has minimized downtime and supports seamless multi‑datacenter failover

Beyond pricing, there are areas where I would like to see InfoScale improved or enhanced. Veritas offers three management approaches. The first, which Veritas currently recommends, is Veritas Operation Manager. The second is the Cluster Manager Java Console graphical interface. The Cluster Manager Java Console has not been revised since version 6.1 or 6.2. This tool was critical for me, particularly valuable when managing small cluster footprints of 20 to 30 server nodes. I relied heavily on this tool, but Veritas has moved away from it in favor of Operation Manager. I recommend Veritas continue evolving this tool rather than discarding it. The third approach is the command line, suitable for individuals with extensive Veritas expertise and experience, but command line use in live environments consumed excessive time, leading me to prefer the graphical interface. Apart from pricing, I have not discovered disadvantages. The product is excellent. My concern is Veritas discarding the Cluster Manager Java Console in favor of Veritas Operation Manager. Setting up Operation Manager requires time and a dedicated server that runs continuously. I had to create a single server just for Veritas Operation Manager. While this works well for larger environments with hundreds of clusters, it is less useful for smaller deployments. I still recommend Veritas reconsider this application and evolve it by incorporating new features from Veritas Operation Manager. Adding these new features to the Java console would be beneficial because that tool runs on my laptop without consuming environment resources, and I can connect directly to clusters from my laptop. I am not opposing Veritas Operation Manager, which is excellent and resembles hardware management consoles for power machines, but smaller tools that previously performed these tasks should remain as options to provide clients with greater ease. From a features and functionality perspective, I do not find missing features in InfoScale at this moment. However, I am not actively using Veritas, managing only legacy machines on older hardware. I am upgrading operating systems but not Veritas due to contract expiration and end-of-life status. The contract is not being renewed because the customer wants to move away. Since I have not logged into VCS since 2021 and transferred responsibilities to another team, I am unaware of features arriving in version 8 or beyond and cannot comment specifically on recent Veritas introductions.

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Idoko Emmanuel

Senior Software Engineer at a tech services company with 1,001-5,000 employees

Has good filtering and rating features and helps with resource and load management

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.

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

"In a live incident scenario, the data replication process occurs in real-time, and compared to other products, this data replication feature works effectively, ensuring data availability, and we can implement this scenario using Veritas Volume Replication (VVR), which is the most usable feature in InfoScale for data replication."

"It offers High Availability for many applications, including Oracle and SAP environment."

"From a recovery standpoint, InfoScale is excellent and easy to manage."

"InfoScale does that all by itself without any dependency on different solutions."

"The best feature in InfoScale is the file system, which is the greatest feature as you can get any storage LUN from any hardware because it's software-defined and create a volume that can consist of storage from two or more different vendors, which avoids any vendor lock-in and makes it easier when you expand as time goes."

"It's a stable solution."

"The best feature is that it supports high availability and automatic failover, which minimizes downtime and helps the environment reduce downtime and improve high availability for critical applications."

"Over the last two years, we did not experience any application failover or receive alerts due to the immediate switchover mechanism in active-active mode that ensures no downtime, helping us significantly with confidence and trust in our organization."

More InfoScale pros

"It is very simple and very easy to configure."

"The deployment is very fast."

"We switched from New Relic and Loggly as it provides us more info at a lower price."

"What stood out to us were the metrics and granular details we received."

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

"The solution is stable and reliable."

"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."

More Stackify pros

Cons

"It could be more stable and more secure."

"Based on my experience with support, I would rate them a nine, only because occasionally the first person I talk to does not know more than I do and it needs to be escalated to reach someone more knowledgeable."

"While InfoScale is mainly used by enterprise-level customers, it does not inherently support many applications, which presents a scalability issue."

"My experience with pricing, setup cost, and licensing is that it is a bit expensive, but rather than that, because it is used in critical environments with no competitor, most of the customers go for it anyways."

"The primary concern is licensing cost, as the customer is unwilling to invest further and has begun cost-cutting measures."

"It's very difficult to implement."

"My experience with pricing, setup cost, and licensing indicates that pricing is a little higher and should be reduced since most companies cannot afford it."

"Many customers can see the benefit of InfoScale, but they are usually not able to purchase the product because the license cost is very high."

More InfoScale cons

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

"It's not easy to set up. It's hard especially for juniors to understand."

"Better mobile support."

"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."

"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."

"Another improvement would be the agent memory utilization, which led to our recent reevaluation."

"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."

More Stackify cons

Pricing and Cost Advice

"Our clients pay for licensing on a yearly basis."

"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

18%

Manufacturing Company

Outsourcing Company

Media Company

Construction Company

21%

Comms Service Provider

15%

Outsourcing Company

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
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 is your experience regarding pricing and costs for Veritas InfoScale Availability?

My experience with pricing, setup cost, and licensing is that it is a bit expensive, but rather than that, because it is used in critical environments with no competitor, most of the customers go f...

See all answers

What needs improvement with Veritas InfoScale Availability?

InfoScale can be improved if it added more robust reporting features; it has reporting, but it is very simple. If it created an integration with a reporting tool that makes it official, customers c...

See all answers

What is your primary use case for Veritas InfoScale Availability?

My main use case for InfoScale is that we use it in many scenarios. In some scenarios, we use it for clustering for a product like Enterprise Vault, using InfoScale Enterprise, where we handle the ...

See all answers

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Comparisons

Windows Server Failover Clustering vs InfoScale

Compared 13% of the time

Portworx Enterprise vs InfoScale

Compared 11% of the time

IBM PowerHA System Mirror vs InfoScale

Compared 10% of the time

IBM Platform Computing LSF vs InfoScale

Compared 10% of the time

DRBD vs InfoScale

Compared 9% of the time

More InfoScale Competitors

New Relic vs Stackify

Compared 8% of the time

Dynatrace vs Stackify

Compared 6% of the time

OpenText SiteScope vs Stackify

Compared 6% of the time

Splunk Enterprise Security vs Stackify

Compared 5% of the time

OpenText Real User Monitoring vs Stackify

Compared 5% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

InfoScale

August 2026

Download InfoScale product report

Buyer's Guide

Stackify

July 2026

Download Stackify product report

Also Known As

Veritas InfoScale Availability, Arctera InfoScale for Kubernetes

No data available

Overview

InfoScale delivers robust data availability and protection for enterprises by managing critical workloads across hybrid cloud environments, ensuring minimal downtime and seamless performance.

InfoScale is designed to enhance data resilience and operational efficiency. By enabling quick data access across hybrid infrastructures, it reduces potential downtime and enhances business continuity. Its scalable architecture adapts to dynamic workloads, providing reliable performance under pressure while maintaining seamless integration with cloud-based solutions.

What are the key features of InfoScale?

Data Resiliency: Ensures continuous data availability through advanced clustering and replication technologies.
Scalability: Supports dynamic scaling to meet changing demands without compromising performance.
Cloud Integration: Offers seamless transition and operation within cloud environments.
Automated Operations: Streamlines management processes with automation to reduce manual intervention.

What benefits and ROI should users consider?

Increased Uptime: Improved reliability translates to reduced business interruption.
Cost Efficiency: Potentially lowers operational costs through optimized resource allocation.
Enhanced Security: Provides robust protection measures for critical data assets.
Operational Agility: Facilitates swift adaptation to evolving business requirements.

InfoScale is particularly effective in sectors such as healthcare and finance where data integrity and uptime are crucial. Its implementation empowers industries to handle data-intensive operations efficiently, ensuring continuity and compliance with industry standards.

InfoScale

Stackify enhances application performance monitoring with features like detailed logging and effective filtering options, integrating capabilities to eliminate the need for multiple tools, and providing rapid deployment and stable performance.

Stackify offers a comprehensive solution for business insight through custom dashboards, error monitoring, load management, and application scoring. Its ability to visualize performance by creating responsive dashboards helps connect business and technical teams. Despite its strengths, users seek improvements such as better mobile support, real-time log appearance, and Docker documentation. Enhanced Linux support and agent memory optimization are also desired, along with better visibility into container and application performance metrics. Integrating more plugins and options would make Stackify a more robust monitoring tool.

What are the key features of Stackify?

Detailed Log and Error Data: Provides in-depth traces and logs for error and data analysis.
Custom Dashboards: Offers business insights and application scoring through tailored dashboards.
Performance Metrics: Monitors application and server performance effectively.
Simple Configuration: Ensures easier setup and deployment without complexities.
Filtering Options: Enables effective management of logs and errors through filters.

What benefits should be expected from using Stackify?

Improved Performance Monitoring: Provides tools to identify root causes and enhance application and server monitoring.
Resource Management: Manages server utilization and handles resource spikes efficiently.
Proactive Alerts: Allows setting up alerts across platforms like AWS and Docker.
Log Aggregation: Compiles logs for testing and analysis to improve system performance.

Organizations across industries use Stackify for extensive application performance monitoring, particularly in testing environments. It is crucial for analyzing database calls, third-party requests, and aggregating logs. Its capabilities in monitoring across AWS and Docker environments make it especially valuable for dynamic and distributed infrastructures.

Stackify

Sample Customers

Wayne State University, Zenith Mart

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

Buyer's Guide

InfoScale vs. Stackify

August 2026

Free Report: InfoScale vs. Stackify

Find out what your peers are saying about InfoScale vs. Stackify and other solutions. Updated: August 2026.

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