OpenText Diagnostics vs Splunk Observability Cloud comparison

Why PeerSpot?

OpenText and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. OpenText is ranked #66, while Splunk is ranked #5 with an average rating of 8.2. OpenText holds a 0.7% mindshare in APM, compared to Splunk’s 2.6% 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

2,551 Views
2,500 Comparison Views

75% willing to recommend

Splunk Observability Cloud

Read 106 Splunk Observability Cloud reviews

32,936 Views
16,797 Comparison Views

96% willing to recommend

OpenText Diagnostics

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

OpenText Diagnostics and Splunk Observability Cloud are competing in the performance monitoring and observability tools category. Splunk frequently gains an edge due to its extensive features and scalability, potentially providing superior value.

Features: OpenText Diagnostics offers application performance management and analytics with detailed root cause analysis, transaction level monitoring, and advanced tracing capabilities. Splunk Observability Cloud provides real-time visibility, AI-driven insights, and robust APM monitoring, with quick deployment across multiple environments. Its dashboards facilitate comprehensive data analysis for enhanced decision-making.

Room for Improvement: OpenText Diagnostics could enhance cloud integration, streamline user interface customizations, and provide more real-time analytics. Splunk Observability Cloud could benefit from reducing its learning curve, optimizing its advanced AI-powered analytics, and improving its cost-effectiveness for smaller deployments.

Ease of Deployment and Customer Service: OpenText Diagnostics ensures smooth deployment with scheduled updates and responsive technical support, easing the setup for new users. Splunk Observability Cloud leverages cloud-native architecture, offering automated deployment and continuous integrations, albeit with a steeper learning curve due to its comprehensive features. Both provide exemplary customer service, yet Splunk's model may better support scalability.

Pricing and ROI: OpenText Diagnostics presents a cost-effective option with competitive pricing appealing to budget-conscious buyers, providing good initial value. Splunk Observability Cloud, although requiring higher initial investment, can deliver better ROI due to its advanced features and scalability, which enhance operational efficiency in the long term.

To learn more, read our detailed OpenText Diagnostics vs. Splunk Observability Cloud Report (Updated: November 2026).

Buyer's Guide

OpenText Diagnostics vs. Splunk Observability Cloud

November 2026

Download the complete report

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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

66th

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

5th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

106

Ranking in other categories

Network Monitoring Software (5th), IT Infrastructure Monitoring (2nd), Cloud Monitoring Software (2nd), Container Management (10th), Digital Experience Monitoring (DEM) (3rd)

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of OpenText Diagnostics is 0.7%, up from 0.4% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.6%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	2.6%
OpenText Diagnostics	0.7%
Other	96.7%

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.

Read full review

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.

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

"The information from the diagnostics is detailed."

"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."

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

"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."

"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."

"We haven't really experienced any glitches or bugs."

"Splunk Observability Cloud has positively impacted my organization by allowing us to have visibility into the environment."

"We are now able to monitor our infrastructure and get the information in real-time should anything happen."

"The features of Splunk Observability Cloud that I prefer the most are its all-encompassing licensing model, which is comparatively better than others in the market."

"Splunk Observability Cloud is extremely reliable and an extremely trusted source, and it has definitely gained public faith and public trust."

"The solution monitors attacks or unauthorized access to the information we want to protect."

"It has positively impacted my organization in terms of observing different sorts of metrics and tracing across different applications, and it is really helpful."

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."

"Price is little expensive for number of license points and HP Diagnostics trainers are not available in market and no proper support from HP for any diagnotics level queries or issues."

"The solution's machine learning deployment is hard and should be made user-friendly."

"There's no standard use case available where you can see the utilization of the number of use cases I have."

"In terms of pricing, I have one issue with Splunk Observability Cloud; in a large-scale organization, it does not have features such as cost optimization or budgeting for observability spend."

"In future updates, I would like to see more predefined monitoring query solutions, which could be more effective."

"At this moment, Splunk Observability Cloud has not helped improve my operational performance or my company's resilience. I have not yet seen a return on investment from Splunk Observability Cloud."

"The security could be better."

"The UI of Splunk Observability Cloud is one of the major issues; it's old and has been there for more than 10 years, acquired by other applications from other companies. It's time to reinvent how the UI is going to work with the AI modules and integrations, making it softer and cleaner."

"It would be beneficial to have more enhanced features with capabilities to adapt more integrated applications. Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired."

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"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."

"It appears to be expensive compared to competitors."

"Splunk APM is expensive."

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

"Licensing cost is the biggest argument I get from those divesting from Splunk. There are those within our organization who say we are going to go to other tools since Splunk is too expensive."

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

"The product is a bit expensive considering the competition but the company may negotiate the price."

"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."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

15%

Comms Service Provider

Manufacturing Company

Financial Services Firm

11%

Manufacturing Company

Outsourcing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	38
Midsize Enterprise	9
Large Enterprise	70

Questions from the Community

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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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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 ...

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2026

Download OpenText Diagnostics product report

Buyer's Guide

Splunk Observability Cloud

October 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

OpenText Diagnostics offers detailed transaction-level monitoring, providing insights at database, object, and method levels. It aims to improve application visibility and reduce mean time to repair (MTTR) while integrating smoothly with HP's software suite.

OpenText Diagnostics automatically detects components, allows for flexible configuration, and provides detailed diagnostic information of application timeouts. It is particularly useful in identifying root causes like database or network issues. However, there are challenges with its interface, high pricing, lack of trainers, and insufficient cloud-based environment support. It is widely used in finance and government sectors for examining application code.

What are the most important features?

Transaction-Level Monitoring: Provides deep insights at DB, object, and method levels.
Automatic Component Detection: Enhances application visibility by detecting components automatically.
Integration with HP Software: Fully integrates with HP's software for a seamless experience.
Performance Configuration: Allows adjustments for better performance.

What benefits should users look for?

Reduced MTTR: Quick identification and resolution of issues.
Detailed Diagnostics: Offers insights into timeouts and root causes.
Efficient Issue Identification: Valuable for pinpointing and understanding session timeouts.

In finance and government sectors, OpenText Diagnostics is used to efficiently view application data and code inspection. Organizations transitioning to cloud platforms like AWS for improved data management often use it alongside tools like Micro Focus BPM to enhance functionality across environments including SAP, Java, and MQ.

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

November 2026

Free Report: OpenText Diagnostics vs. Splunk Observability Cloud

Find out what your peers are saying about OpenText Diagnostics vs. Splunk Observability Cloud and other solutions. Updated: November 2026.

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