Grafana vs OpenText Diagnostics comparison

Grafana Labs and OpenText are both solutions in the Application Performance Monitoring (APM) and Observability category. Grafana Labs is ranked #7 with an average rating of 7.9, while OpenText is ranked #68. Grafana Labs holds a 2.6% mindshare in APM, compared to OpenText’s 0.6% mindshare. Additionally, 88% of Grafana Labs users are willing to recommend the solution, compared to 75% of OpenText users who would recommend it.

Grafana

Read 50 Grafana reviews

14,292 Views
13,434 Comparison Views

88% willing to recommend

OpenText Diagnostics

Read 4 OpenText Diagnostics reviews

1,785 Views
1,749 Comparison Views

75% willing to recommend

Grafana

OpenText Diagnostics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

The comparison between OpenText Diagnostics and Grafana reveals significant differences in the category of data analysis tools. Grafana's features make it a superior product, which users feel justifies the price, though OpenText Diagnostics is rated higher for support.

What features are offered by OpenText Diagnostics in comparison to Grafana?

OpenText Diagnostics is known for comprehensive data collection, advanced analytical capabilities, and depth in diagnostics and troubleshooting. Grafana offers data visualization, customizable dashboards, and a wide range of plugins. Users find Grafana's flexibility and visualization options more valuable.

What areas of improvement can be found in OpenText Diagnostics in comparison to Grafana?

Users suggest improving OpenText Diagnostics' integration capabilities, making the interface more intuitive, and enhancing built-in alerting. Grafana users request better built-in alerting mechanisms, streamlined setup processes, and improved integration capabilities.

How is the ease of deployment and customer service of OpenText Diagnostics in comparison to Grafana?

OpenText Diagnostics users report a longer deployment process but rate customer service highly for prompt responses and effective solutions. Grafana has a faster deployment process but mixed reviews on customer service, with some users reporting slow response times.

What setup costs and ROI can be seen with OpenText Diagnostics in comparison to Grafana?

OpenText Diagnostics has higher initial setup costs but offers strong long-term ROI due to comprehensive features. Grafana provides a more affordable initial investment, with ongoing costs being reasonable and a good ROI due to its versatile functionalities.

To learn more, read our detailed Grafana vs. OpenText Diagnostics Report (Updated: August 2026).

Buyer's Guide

Grafana vs. OpenText Diagnostics

August 2026

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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

Grafana

Ranking in Application Performance Monitoring (APM) and Observability

7th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Diagnostics

Ranking in Application Performance Monitoring (APM) and Observability

68th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Grafana is 2.6%, down from 6.4% compared to the previous year. The mindshare of OpenText Diagnostics is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Grafana	2.6%
OpenText Diagnostics	0.6%
Other	96.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Vitthal Gole

Devops Engineer at AIQOD

Proactive monitoring has transformed how our teams detect issues and resolve incidents faster

For improving Grafana, the alert configuration could be more intuitive for new users. Dashboard management becomes complex in large environments. So if we have multiple environments and we have to manage our dashboards for them, sometimes it becomes complicated to manage all the dashboards. The learning curve is steep for beginners. More built-in reporting and analytics features would be helpful. Documentation for advanced features could be more detailed. Role-based access management could be simpler to configure. Performance could be optimized for very large dashboards with high cardinality data sources. Grafana could improve its alert configuration workflow and make advanced dashboard management easier for new users. More built-in reporting features would also be beneficial. A simpler onboarding experience for first-time users and more built-in dashboard templates for common monitoring scenarios would be helpful. Grafana is a powerful monitoring platform, but it could improve dashboard organization in large environments, simplify alert management, provide more built-in reporting capabilities, enhance plugin compatibility during upgrades, and offer better AI-driven insights for fast root cause analysis. For example, if we are hitting a CPU metric of ninety to ninety-five percent or a system load of seventy to eighty percent, we have to act on that. But if Grafana suggests something on that metric, such as an AI suggestion, it would be more helpful. We could get an idea of how to solve that issue. For the Grafana dashboards, they could provide more built-in compliance and audit reporting, enhance AI recommendations with clearer explanations of why an issue was flagged, enhance accessibility and keyboard navigation, add more native integrations with emerging cloud and DevOps tools, and improve scalability for very large enterprise deployments. Grafana is a mature platform, but it could benefit from better dashboard version control, simpler environment migration, enhanced AI explanations, more built-in reporting, and improved performance for large-scale deployments with complex dashboards.

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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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Quotes from Members

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

Pros

"It excels in providing comprehensive details when there are downtimes or fluctuations, offering thorough reports."

"Grafana has helped our organization with observability and operational excellence."

"Kubernetes could help us to better visualize the trend of our data by recording and displaying our history over a chosen duration, such as the last 30 days."

"The solution has good features."

"Grafana is a very scalable product. It's a really good product."

"Grafana saves us hours compared to DataDog."

"It is a stable, reliable product."

"If you want a scalable solution, better visualization, optimization, centralized monitoring, and improved troubleshooting, then you can choose Grafana without any doubts in your mind."

More Grafana pros

"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 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."

Cons

"It would be helpful if they simplified the data source."

"The interface is not well-liked by my customers. Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs."

"The security needs to be improved, such as the capacity to add permissions on dashboards."

"Setting up alerts via Grafana is a bit complicated, and alerting needs to improve."

"It would be helpful if Grafana provided more information and training on how to use Prometheus."

"Trigger limits are difficult to see in a graph."

"I don't believe that Grafana fulfilled the requirements completely. That's why we moved to Datadog."

"Writing queries can be a bit difficult because the syntax must be maintained."

More Grafana cons

"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 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."

Pricing and Cost Advice

"We use the open-source version of Grafana."

"The solution is expensive."

"You need to purchase the solution's license for its commercial use."

"I am using an open-source version"

"For me, Grafana is a cheap tool because I don't have to spend much time learning the product since it is a simple solution."

"It's free of cost; it operates as an open-source tool."

"I give the price an eight out of ten."

"I use the open source model so it is free."

More Grafana pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

Comms Service Provider

Financial Services Firm

16%

Construction Company

16%

Performing Arts

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	10
Large Enterprise	27

No data available

Questions from the Community

What is your experience regarding pricing and costs for Grafana?

We are using the community edition. We have used the community edition, the open-source edition. So, there were no licensing costs. The setup was straightforward, and the main investment was the ti...

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What needs improvement with Grafana?

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What is your primary use case for Grafana?

The main use case for Grafana is that we are using Prometheus to collect the metrics, and primarily use Grafana for infrastructure and application monitoring. It helps me visualize system metrics t...

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Product Reports

Buyer's Guide

Grafana

August 2026

Download Grafana product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Download OpenText Diagnostics product report

Also Known As

No data available

Micro Focus Diagnostics, MF Diagnostics

Overview

Grafana offers a customizable, user-friendly platform for robust data visualization and integration, enhancing real-time monitoring with extensive alerting and collaboration capabilities supported by an active open-source community.

Grafana stands out for its flexible dashboards and robust visualization options, integrating smoothly with tools like Prometheus. This open-source platform supports diverse environments, aiding in the visualization of IT infrastructure and business analytics. Its alerting system efficiently supports real-time monitoring. While it is praised for its community backing and cost-effectiveness, there is demand for better data aggregation, intuitive interfaces, and enhanced documentation compared to competitors such as Splunk. Simplification of configuration and the interface is sought, alongside improvements in machine learning and reporting features.

What are Grafana's most important features?

Customizable Dashboards: User-friendly, richly customizable dashboards for precise data presentation.
Visualization Capabilities: Strong support for visualizing complex datasets from multiple sources.
Integration Options: Extensive compatibility with data sources and tools like Prometheus.
Alerting System: Efficient real-time monitoring and issue identification.
Open-Source Nature: Supported by a vibrant community, offering a cost-effective solution.

What benefits or ROI should users seek in Grafana reviews?

Adaptability: Supports diverse environments and use cases.
Cost-Effectiveness: Offers valuable features at a competitive price.
Community Support: Backed by an active and vibrant open-source community.
Collaborative Platform: Seamless integration with various data tools refining monitoring and analytics efforts.

Grafana is implemented widely across industries for monitoring IT infrastructure and visualizing business analytics. Companies utilize it to analyze server performance or monitor Kubernetes environments and payment transactions. The platform integrates with AWS services and other data sources to ensure observability and system health tracking, focusing on performance metrics through customized dashboards and alerts. Organizations employ Grafana to bolster observability and optimize infrastructure through robust data insights.

Grafana Labs

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

Sample Customers

Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.

BSkyB, Alior Bank

Buyer's Guide

Grafana vs. OpenText Diagnostics

August 2026

Free Report: Grafana vs. OpenText Diagnostics

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