InfoScale vs Splunk Observability Cloud comparison

InfoScale and Splunk are both solutions in the IT Infrastructure Monitoring category. InfoScale is ranked #28 with an average rating of 8.5, while Splunk is ranked #5 with an average rating of 8.4. InfoScale holds a 0.0% mindshare in IM, compared to Splunk’s 2.2% mindshare. Additionally, 100% of InfoScale users are willing to recommend the solution, compared to 95% of Splunk users who would recommend it.

InfoScale

Read 9 InfoScale reviews

1,564 Views
16 Comparison Views

100% willing to recommend

Splunk Observability Cloud

Read 88 Splunk Observability Cloud reviews

17,350 Views
7,114 Comparison Views

95% willing to recommend

InfoScale

Splunk Observability Cloud

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Executive Summary

We performed a comparison between InfoScale and Splunk Observability Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Zabbix, Datadog, SolarWinds and others in IT Infrastructure Monitoring.

To learn more, read our detailed IT Infrastructure Monitoring Report (Updated: June 2026).

Buyer's Guide

IT Infrastructure Monitoring

June 2026

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Helped 902,988 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

InfoScale

Ranking in IT Infrastructure Monitoring

28th

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (20th), High Availability Clustering (1st), Disaster Recovery (DR) Software (14th), Data Storage for Kubernetes (2nd), Autonomous Operational Resilience (4th)

Splunk Observability Cloud

Ranking in IT Infrastructure Monitoring

5th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (6th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (2nd)

Mindshare comparison

As of July 2026, in the IT Infrastructure Monitoring category, the mindshare of InfoScale is 0.0%. The mindshare of Splunk Observability Cloud is 2.2%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	2.2%
InfoScale	0.0%
Other	97.8%

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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Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

Unified observability has improved real-time governance and now drives data-led decisions

Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

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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 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."

"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."

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

"It's a stable solution."

"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

"I find the monitoring console very helpful. With one click, I can see how we are performing, and at the same time, I can see what data is flowing."

"The feature I appreciate the most about Splunk Observability Cloud is Synthetic Monitoring."

"It is a great resource for us because we have so many different data sources and to be able to aggregate that and put it through a concise dashboard or an alert really helps."

"It has been beneficial for our IT infrastructure."

"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."

"My experience with this solution in analyzing machine data is really good."

"After moving to Splunk Observability Cloud, it is almost zero downtime."

"The dashboards are the features of Splunk Observability Cloud that I appreciate the most, providing visual representation of all data and text, which has benefited my organization by speeding up people's jobs and allowing a place to monitor all logs, as there are usually thousands of entries coming in which can become very disorderly."

More Splunk Observability Cloud pros

Cons

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

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

"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."

"It could be more stable and more secure."

"It's very difficult to implement."

"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."

More InfoScale cons

"The main improvement I would suggest for Splunk Observability Cloud would be offering the ability to implement custom apps, specifically allowing Python scripts that Splunk Cloud could host."

"The integrations need to be improved for Splunk Observability Cloud."

"The cost needs to be re-examined. It's extremely expensive to run."

"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."

"The cardinality is pretty low."

"Regarding the negative side, I think the licensing can be much better because it is based upon host units and there is additional licensing for the number of traces that I can bring in."

"The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders. However, there are aspects that could be improved, such as linking dashboards to one another."

"The clustering part of indexes can be more refined."

More Splunk Observability Cloud cons

Pricing and Cost Advice

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

"The solution's pricing is costly."

"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."

"Splunk Observability Cloud is expensive."

"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."

"The pricing is reasonable."

"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."

"The pricing is based on several factors, including the scale of deployment."

"The price of Splunk APM is less than some of its competitors."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Media Company

Computer Software Company

Financial Services Firm

12%

Manufacturing Company

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	8
Large Enterprise	55

Questions from the Community

What is your experience regarding pricing and costs for Veritas InfoScale Availability?

Does that include the licensing costs? It is really a real blocker in Turkey because of economic situations in Turkey. From a personal perspective, I would say nine. But from a business perspective...

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What needs improvement with Veritas InfoScale Availability?

This is a question that is hard to answer because everyone is moving towards microservices and cloud native applications, and they are mostly running on Kubernetes or systems similar to Kubernetes....

See all answers

What is your primary use case for Veritas InfoScale Availability?

To have high availability of data center resources, especially databases and applications, I needed data replicated from one data center to a disaster recovery data center or another data center, a...

See all answers

What needs improvement with SignalFx?

Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...

See all answers

What is your primary use case for SignalFx?

The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...

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What advice do you have for others considering SignalFx?

We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...

See all answers

Comparisons

IBM Platform Computing LSF vs InfoScale

Compared 16% of the time

Windows Server Failover Clustering vs InfoScale

Compared 14% of the time

Portworx Enterprise vs InfoScale

Compared 11% of the time

IBM PowerHA System Mirror vs InfoScale

Compared 10% of the time

DxEnterprise vs InfoScale

Compared 10% of the time

More InfoScale Competitors

Avantra vs Splunk Observability Cloud

Compared 3% of the time

Datadog vs Splunk Observability Cloud

Compared 3% of the time

Kentik vs Splunk Observability Cloud

Compared 2% of the time

Grafana vs Splunk Observability Cloud

Compared 2% of the time

VMware Aria Operations for Applications vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

InfoScale

June 2026

Download InfoScale product report

Buyer's Guide

Splunk Observability Cloud

June 2026

Download Splunk Observability Cloud product report

Also Known As

Veritas InfoScale Availability, Arctera InfoScale for Kubernetes

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

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

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

Sample Customers

Wayne State University, Zenith Mart

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

Buyer's Guide

IT Infrastructure Monitoring

June 2026

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