BigPanda vs InfoScale comparison

BigPanda and InfoScale are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #21 with an average rating of 8.3, while InfoScale is ranked #26 with an average rating of 8.6. BigPanda holds a 0.7% mindshare in IM, compared to InfoScale’s 0.0% mindshare. Additionally, 85% of BigPanda users are willing to recommend the solution, compared to 100% of InfoScale users who would recommend it.

BigPanda

Read 20 BigPanda reviews

4,540 Views
2,406 Comparison Views

85% willing to recommend

InfoScale

Read 9 InfoScale reviews

1,804 Views
18 Comparison Views

100% willing to recommend

BigPanda

InfoScale

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Executive Summary

We performed a comparison between BigPanda and InfoScale 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 BigPanda vs. InfoScale Report (Updated: July 2026).

Buyer's Guide

BigPanda vs. InfoScale

July 2026

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Helped 909,948 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

BigPanda

Ranking in IT Infrastructure Monitoring

21st

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

IT Alerting and Incident Management (9th), AIOps (9th)

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)

Mindshare comparison

As of August 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.7%, down from 0.9% compared to the previous year. The mindshare of InfoScale is 0.0%. It is calculated based on PeerSpot user engagement data.

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

IT Infrastructure Monitoring

Featured Reviews

Michael Wenn

CEO / Co-Founder at Aiops ltd

Automated incident workflows have reduced alert noise and now improve response efficiency

In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.

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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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Quotes from Members

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

Pros

"The most valuable feature is the dashboard."

"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."

"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."

"The best of a bad lot was the error message deduping."

"I would definitely recommend BigPanda for its time-saving features, root cause analysis, topology overview, and visual event representation capabilities."

"BigPanda is an endpoint protection solution against ransomware."

"BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality."

"The features of BigPanda that have most improved my incident response times include AIOps, correlation pieces, and grouping, which is a big win for us."

More BigPanda pros

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

"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."

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

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

"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 integrates well with other solutions."

More InfoScale pros

Cons

"When handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer."

"Lacks sufficient dashboard features."

"The cost of this product is too high compared to New Relic."

"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."

"We'd like to see additional dashboard features included as part of the solution."

"BigPanda sometimes creates false incidents and workarounds, causing financial disturbances because we pay for each incident."

"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."

"The solutions were quite useful but not completely stable."

More BigPanda cons

"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."

"It could be more stable and more secure."

"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."

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

"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 indicates that pricing is a little higher and should be reduced since most companies cannot afford it."

"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."

More InfoScale cons

Pricing and Cost Advice

"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."

"We pay $200,000 USD per year."

"The price of BigPanda is in the middle compared to other solutions."

"BigPanda is cheaper than the competitors."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Manufacturing Company

10%

Outsourcing Company

Retailer

Financial Services Firm

18%

Manufacturing Company

Outsourcing Company

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	4

Questions from the Community

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

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What is your experience regarding pricing and costs for BigPanda?

Regarding extra expenses, I pay more for communication and do not incur costs for another dashboard perspective, but there are indirect costs related to managing open-source products, leading to re...

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What needs improvement with BigPanda?

Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such ...

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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

Comparisons

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Compared 10% of the time

PagerDuty Operations Cloud vs BigPanda

Compared 9% of the time

Splunk ITSI (IT Service Intelligence) vs BigPanda

Compared 6% of the time

Zabbix vs BigPanda

Compared 5% of the time

Dynatrace vs BigPanda

Compared 5% of the time

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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

HPE Serviceguard vs InfoScale

Compared 9% of the time

More InfoScale Competitors

Product Reports

Buyer's Guide

BigPanda

August 2026

Download BigPanda product report

Buyer's Guide

InfoScale

August 2026

Download InfoScale product report

Also Known As

No data available

Veritas InfoScale Availability, Arctera InfoScale for Kubernetes

Overview

BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.

BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.

What are the key features of BigPanda?

Root Cause Analysis: Efficient identification of the sources of incidents.
Alert Deduplication: Reduces alert noise by consolidating duplicates.
Event Correlation: Connects related alerts for easier incident management.
Automation: Streamlines processes for faster response times.
Seamless Integration: Connects with tools like ServiceNow and Teams.

What benefits or ROI can users find in reviews?

Increased Efficiency: Automates incident management tasks.
Operational Insights: Provides valuable analytics for strategic decisions.
Improved Collaboration: Integrates notifications with Slack and other platforms.
Reduced Alert Fatigue: Deduplication and suppression improve focus on critical issues.

BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.

BigPanda

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

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process

Wayne State University, Zenith Mart

Buyer's Guide

BigPanda vs. InfoScale

July 2026

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