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."

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

"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."

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

"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."

"The most valuable feature in this solution is the log searching."

"The features are pretty much ready out of the box."

"Overall, I am satisfied with Splunk Observability Cloud, as it provides strong real-time monitoring, good visibility, and faster troubleshooting, being useful for improving our day-to-day operational efficiency."

"Splunk Observability Cloud has allowed us to consider piping in data from the companies we have acquired as well to get the single pane of glass situation as we continue to build and grow the company."

"Detectors are a powerful feature."

"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."

"I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability."

"In terms of the application performance security, application performance tooling has been a key factor for me using Splunk."

More Splunk Observability Cloud pros

Cons

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

"The interface could be more user friendly."

"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 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."

"I believe that areas of Splunk Observability Cloud that could be improved include the initial setup and instrumentation costs, which take more time for APM."

"Splunk would be better if some tools were integrated to be able to take action on security or network concerns."

"Splunk Observability Cloud could be improved with more advanced troubleshooting tools, better dashboard customization, and more intelligent alerting, as these improvements would make monitoring and issue resolution even faster."

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

"The pricing would be one area for improvement."

"I would like to see a very detailed tutorial about it and how any newcomer can be able to use it."

"The RUM part of Splunk Observability Cloud can be improved significantly."

"Splunk Observability Cloud could be improved by having more integration with Splunk Cloud because at the moment they're two separate products. They're making great moves on what they call unified access; tighter integration is always a good thing."

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"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."

"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."

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

"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."

"The pricing is reasonable."

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

"Splunk APM is a very cost-efficient solution."

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

Performing Arts

Financial Services Firm

11%

Manufacturing Company

Outsourcing Company

Comms Service Provider

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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Comparisons

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Compared 17% of the time

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Compared 5% of the time

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Compared 2% of the time

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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 provides advanced real-time monitoring and AI-powered insights, streamlining operations and reducing downtime across diverse computing environments.

Offering powerful tools for real-time monitoring, Splunk Observability Cloud enhances performance visibility and operational resilience through AI insights and comprehensive dashboards. With No-Sample Tracing and customizable alerts, it allows quick issue detection and resolution. Its user-friendly interface and seamless integration facilitate troubleshooting and decision-making. The platform's unified infrastructure is equipped for environments like Kubernetes, ensuring stability and efficiency. Users report reduced downtime and increased transparency.

What are the key features of Splunk Observability Cloud?

Real-Time Monitoring: Provides continuous visibility into infrastructure and applications.
AI-Powered Insights: Enhances decision-making with intelligent data analysis.
Comprehensive Dashboards: Offers customizable views for deep data insights.
No-Sample Tracing: Ensures accurate monitoring without missing critical data.
Customizable Alerts: Allows setting specific parameters for immediate issue detection.
Seamless Integration: Connects easily with systems to support diverse environments.

What benefits can users expect?

Reduced MTTR: Quicker mean time to resolution through effective monitoring tools.
Enhanced Performance Transparency: Improved visibility into system performance metrics.
Operational Resilience: Strengthens system stability through proactive monitoring.
Improved Troubleshooting: Streamlined process leads to faster problem-solving.
Increased Stability: Helps maintain consistent performance across environments.
Boosted Efficiency: Optimizes operational processes with sophisticated tools.

Splunk Observability Cloud is widely used for monitoring cloud infrastructures and microservices, optimizing AI applications, and enhancing application performance. It's integral in environments requiring real-time alerts, anomaly detection, and multi-cloud management, supporting use cases like infrastructure and application performance monitoring. Users leverage its capabilities for end-to-end visibility, focusing on metrics, logs, and traces for rapid problem-solving and performance assessment.

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

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