OpenText Diagnostics vs Splunk Observability Cloud comparison

OpenText and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. OpenText is ranked #57, while Splunk is ranked #8 with an average rating of 8.4. OpenText holds a 0.5% mindshare in APM, compared to Splunk’s 2.2% mindshare. Additionally, 75% of OpenText users are willing to recommend the solution, compared to 96% of Splunk users who would recommend it.

OpenText Diagnostics

Read 4 OpenText Diagnostics reviews

814 Views
798 Comparison Views

75% willing to recommend

Splunk Observability Cloud

Read 75 Splunk Observability Cloud reviews

7,605 Views
4,183 Comparison Views

96% willing to recommend

OpenText Diagnostics

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 28, 2025

OpenText Diagnostics and Splunk Observability Cloud are products competing in IT management and monitoring. Splunk Observability Cloud has an upper hand due to its comprehensive features and perceived value, while OpenText Diagnostics attracts with competitive pricing and support.

Features: OpenText Diagnostics features in-depth diagnostics, easy integration, and detailed tracing capabilities. Splunk Observability Cloud offers real-time data analytics, a broad ecosystem, and advanced dashboard creation.

Room for Improvement: OpenText Diagnostics could enhance its cloud adaptation, agent flexibility, and user interface. Splunk Observability Cloud could improve deployment simplicity, cost efficiency, and user training resources.

Ease of Deployment and Customer Service: OpenText Diagnostics is praised for a streamlined deployment process and accessible customer support. Splunk Observability Cloud has more complex deployment but offers extensive documentation and responsive support, providing a balanced experience.

Pricing and ROI: OpenText Diagnostics is cost-effective with straightforward setup and favorable ROI. Splunk Observability Cloud’s pricing aligns with its advanced features, offering significant long-term value through operational enhancements and insights.

To learn more, read our detailed OpenText Diagnostics vs. Splunk Observability Cloud Report (Updated: December 2025).

Buyer's Guide

OpenText Diagnostics vs. Splunk Observability Cloud

December 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

OpenText Diagnostics

Ranking in Application Performance Monitoring (APM) and Observability

57th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Splunk Observability Cloud

Ranking in Application Performance Monitoring (APM) and Observability

8th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (6th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of OpenText Diagnostics is 0.5%, up from 0.2% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.2%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Splunk Observability Cloud	2.2%
OpenText Diagnostics	0.5%
Other	97.3%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ravi Suvvari

Performance and Fault-tolerance Architect with 1,001-5,000 employees

Very good for transaction level monitoring, but expensive and HP needs better support and training

HP Diagnostics is a very good monitoring tool especially for transaction level monitoring -- it shows hot spots which can be drilled down to DB level, table, query, SP's, record and field level and also at Object level, Classes level,method or Augment levels instead of pinpointing bottlenecks at layer level it goes deep inside for information. It has very good tracing capabilities despite being an agent based tool compared to other agent less monitoring tools. Overall a very good tool for monitoring application diagnostics for quick and easy resolution with help of thread information. Drills down from slow, end-user transactions to the bottle necked component, method, or SQL statement, helping to solve memory, exception, and other common problems Key features and benefits • Automatically detects all components touched by a business process and traces them with no user intervention • Provides complete application visibility across the application lifecycle, enabling higher application quality when applications go live • Reduces mean time to resolution (MTTR) in your J2EE, .NET, ERP, or CRM (SAP, Oracle®, PeopleSoft) environment • Integrates fully with HP Business Availability Center software, HP LoadRunner, and HP Performance Center.

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Dhananjay Dileep

Senior Software Engineer at a consultancy with 10,001+ employees

Unified monitoring has improved end-to-end visibility and reduced detection time across apps

When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.

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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 of Micro Focus Diagnostics is the information reported from an application that has timed out. For example, when you're Googling, or you're booking a ticket for Burj Khalifa here, the longest tower in the world, there are situations where the system can time out. There are times when you might not receive a response on the payment gateway or you are not able to find the reservation. The customer only receives the information that the session has timed out."

"The diagnostics and configuration are the solution's most valuable aspects."

"For banking and telecom solutions, it's been quite useful."

"Splunk APM has helped us to standardize logging and monitoring procedures."

"Initially, before Splunk, we had a long time to resolve issues. Now, with Splunk Observability Cloud, we will be able to solve them quickly and know exactly where the issue is."

"Splunk Infrastructure Monitoring reduces our mean time to resolve. We are more proactive than reactive."

"I have primarily used it to go back into the past and understand why something happened. It provides enough information to do research and figure things out."

"The most valuable feature is dashboard creation."

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

"It supports proactive management, enhances security, and improves operational efficiency."

"The company has many systems that the customer is paying to access. Splunk APM issued via AppDynamics helps find problems in the feed. It reduces the risk of supervising all the devices. I can supervise the flow and simulate the conditions of the repository across several dashboards to show what's happening at the moment."

More Splunk Observability Cloud pros

Cons

"The interface could be more user friendly."

"The GUI and metrics of Micro Focus Diagnostics can be improved. The metrics the solution gathers can be limited and could be enhanced by giving more details."

"The interface is very old, and not very user-friendly. Most of our clients don't like the UI."

"The deployment can be quite complex."

"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."

"Splunk Infrastructure Monitoring's data analytics can be improved by including suggestions for various types of continuous monitoring."

"The security could be better."

"We currently lack log analysis capabilities in Splunk APM."

"The UI enhancements could be a way to improve the solution in the future."

"In the next release, I would like to see more integration with other solutions."

"Splunk could be better integrated with configuration manager solutions so we can automatically resolve issues without human interference."

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"Splunk APM is expensive."

"Splunk Observability Cloud is expensive."

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

"Splunk has been fairly expensive, but it has been predictable."

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

"The solution's pricing is costly."

"Splunk Infrastructure Monitoring is an expensive solution."

"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."

More Splunk Observability Cloud pricing and cost advice

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Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	10
Large Enterprise	47

Questions from the Community

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What do you like most about SignalFx?

The most valuable feature is dashboard creation.

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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...

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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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Comparisons

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Compared 18% of the time

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Compared 15% of the time

Splunk AppDynamics vs OpenText Diagnostics

Compared 13% of the time

Broadcom DX Application Performance Management vs OpenText Diagnostics

Compared 12% of the time

OpenText SiteScope vs OpenText Diagnostics

Compared 10% of the time

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Compared 3% of the time

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Compared 2% of the time

Observe vs Splunk Observability Cloud

Compared 2% of the time

Cribl vs Splunk Observability Cloud

Compared 2% of the time

Honeycomb Enterprise vs Splunk Observability Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Download OpenText Diagnostics product report

Buyer's Guide

Splunk Observability Cloud

January 2026

Download Splunk Observability Cloud product report

Also Known As

Micro Focus Diagnostics, MF Diagnostics

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

Overview

Diagnostics software monitors application transaction health in traditional, virtualized and cloud environments allowing quick isolation and resolution of issues. It gives you a common tool to easily collaborate across the entire application lifecycle and release higher-quality applications. Diagnostics software provides deep drill down into transactions from the end user through the back end. And it uniquely serves as a single tool set for pre-production and production to diagnose application performance bottlenecks quickly and improve quality.

OpenText

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

BSkyB, Alior Bank

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

Buyer's Guide

OpenText Diagnostics vs. Splunk Observability Cloud

December 2025

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