InfoScale vs ScaleOps comparison

Why PeerSpot?

InfoScale and ScaleOps are both solutions in the Data Storage for Kubernetes category. InfoScale is ranked #3 with an average rating of 8.6, while ScaleOps is ranked #2 with an average rating of 9.0. InfoScale holds a 8.9% mindshare in DSfK, compared to ScaleOps’s 3.6% mindshare. Additionally, 100% of InfoScale users are willing to recommend the solution, compared to 100% of ScaleOps users who would recommend it.

InfoScale

Read 9 InfoScale reviews

2,770 Views
249 Comparison Views

100% willing to recommend

ScaleOps

Read 1 ScaleOps review

732 Views
717 Comparison Views

100% willing to recommend

InfoScale

ScaleOps

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 21, 2026

ScaleOps and InfoScale compete in data management and optimization. ScaleOps has an advantage in ease of setup and customer service, while InfoScale offers superior features and value retention.

Features: ScaleOps provides simplified automation, real-time analytics, and rapid operational adjustments. InfoScale offers advanced data protection, dynamic scaling, and a comprehensive solution for complex environments.

Ease of Deployment and Customer Service: ScaleOps features a streamlined deployment, significantly reducing complexity, and offers responsive customer support for smooth integration. InfoScale provides extensive deployment resources and support, requiring additional time for implementation due to feature complexity.

Pricing and ROI: ScaleOps has a competitive pricing structure with rapid ROI due to quick deployment and operational efficiencies. InfoScale, despite higher setup costs, offers potentially greater long-term ROI through its extensive feature set, appealing to businesses focused on expansive data management.

To learn more, read our detailed Data Storage for Kubernetes Report (Updated: October 2026).

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Data Storage for Kubernetes

October 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 Data Storage for Kubernetes

3rd

Average Rating

8.6

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (23rd), IT Infrastructure Monitoring (30th), High Availability Clustering (1st), Disaster Recovery (DR) Software (14th), Autonomous Operational Resilience (4th)

ScaleOps

Ranking in Data Storage for Kubernetes

2nd

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Storage for Kubernetes category, the mindshare of InfoScale is 8.9%, up from 1.3% compared to the previous year. The mindshare of ScaleOps is 3.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Storage for Kubernetes Mindshare Distribution
Product	Mindshare (%)
ScaleOps	3.6%
InfoScale	8.9%
Other	87.5%

Data Storage for Kubernetes

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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Jlester Lester

Cloud Engineer at a retailer with 5,001-10,000 employees

Automation has reduced Kubernetes costs and improves right‑sizing and cluster visibility

By far the request optimization is the best feature ScaleOps offers. This alleviates the pain of having to monitor these constantly to figure out if they're oversized or undersized. ScaleOps takes that and is able to fully automate it and we've seen great success with that.The request optimization automation saves us both time and money because we are not spending as much. We've seen a reduced cost of the underlying EC2 instances that are the nodes. By using less resources, we need less nodes, and then our application teams need to spend very little time now to make sure these requests are at a good size and that they're not oversized or undersized. ScaleOps has positively impacted our organization by helping with the reduction of costs greatly. We've been able to save a lot of money and seen return on investment with using ScaleOps. It has also alleviated oversized requests and the work that app teams would have to do for this. I think it's also allowed us to see more information about the cluster and health. It has a lot of good dashboards within there. I think that helps with monitoring and governance.

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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

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

"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."

"It's a stable solution."

"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 integrates well with other solutions."

"InfoScale's ability to maintain data integrity and availability during a cyber event such as a ransomware attack is excellent."

"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."

More InfoScale pros

"ScaleOps has reduced our costs by about 45 percent."

Cons

"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."

"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."

"Many customers can see the benefits of InfoScale, but they are usually not able to buy the products and solutions because of the licensing costs."

"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."

"It's very difficult to implement."

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

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

More InfoScale cons

"I think that some of ScaleOps's logging can be improved to be more transparent with what ScaleOps platform is doing."

Pricing and Cost Advice

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

Manufacturing Company

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	5
Large Enterprise	7

No data available

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...

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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...

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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 ...

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What is your experience regarding pricing and costs for ScaleOps?

I don't believe we purchased ScaleOps through the AWS Marketplace. I wasn't involved in those contracts directly, but I believe that we worked with ScaleOps directly.

See all answers

What needs improvement with ScaleOps?

I think that some of ScaleOps's logging can be improved to be more transparent with what ScaleOps platform is doing. Since using it, I have seen ScaleOps improve in this, but I think they still hav...

See all answers

What is your primary use case for ScaleOps?

We use ScaleOps for our Kubernetes platform right-sizing our workloads.We have Kubernetes as our shared platform and we have app teams that launch workloads to Kubernetes and we need to right-size ...

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Comparisons

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Compared 11% of the time

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Compared 9% of the time

PagerDuty Operations Cloud vs InfoScale

Compared 9% of the time

HPE Zerto Software vs InfoScale

Compared 8% of the time

DRBD vs InfoScale

Compared 8% of the time

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simplyblock vs ScaleOps

Compared 100% of the time

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Product Reports

Buyer's Guide

InfoScale

October 2026

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Buyer's Guide

Data Storage for Kubernetes

October 2026

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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

ScaleOps empowers businesses with a robust framework designed to streamline operations, offering versatile tools and insightful analytics that drive efficiency across enterprises.

ScaleOps delivers transformative operational capabilities by leveraging cutting-edge technologies designed for scalability and agility. It seamlessly integrates with existing workflows, providing unparalleled support for data analysis and automation to optimize performance. The tools are crafted to meet the complex demands of today's dynamic environments, ensuring that businesses remain competitive and efficient in executing their core activities.

What key features make ScaleOps essential?

Data Analytics: Offers real-time insights with advanced data processing for informed decision-making.
Automation Tools: Expedites workflows by automating repetitive tasks, reducing manual efforts.
Scalability: Easily adapts to growing business needs, maintaining performance under increasing demands.
Integration Capabilities: Ensures seamless operation by connecting with existing systems and applications.

What benefits can users expect from ScaleOps reviews?

Operational Efficiency: Enhances productivity through streamlined processes and automation.
Cost Reduction: Minimizes operational costs by reducing manual interventions and errors.
Improved Decision-Making: Empowers strategic planning with comprehensive data insights.
Enhanced Flexibility: Adapts to specific industry needs, providing customizable solutions for various sectors.

ScaleOps is implemented in industries such as manufacturing, healthcare, and finance, where its blend of automation and analytics tools addresses unique industry challenges. In manufacturing, it enhances production processes while in healthcare it ensures compliance and streamlines patient data management. In finance, its data analytics capabilities are leveraged to optimize financial modeling and risk assessment.

ScaleOps

Sample Customers

Wayne State University, Zenith Mart

Information Not Available

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October 2026

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