Elastic Observability vs OpenText Diagnostics comparison

Elastic and OpenText are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #10 with an average rating of 8.9, while OpenText is ranked #59. Elastic holds a 2.2% mindshare in APM, compared to OpenText’s 0.6% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 75% of OpenText users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,553 Views
6,586 Comparison Views

88% willing to recommend

OpenText Diagnostics

Read 4 OpenText Diagnostics reviews

989 Views
979 Comparison Views

75% willing to recommend

Elastic Observability

OpenText Diagnostics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

OpenText Diagnostics and Elastic Observability are both leading tools in the diagnostics and observability space. OpenText Diagnostics excels in support and pricing, whereas Elastic Observability stands out for its advanced features and overall user satisfaction.

What features are offered by OpenText Diagnostics in comparison to Elastic Observability?

OpenText Diagnostics users value its comprehensive diagnostic capabilities, integration ease, and straightforward deployment. Elastic Observability is praised for its extensive monitoring features, scalability, and powerful analytics tools.

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

Users suggest OpenText Diagnostics could improve its reporting tools, customization options, and user-friendly customizations. For Elastic Observability, the primary areas for enhancement are the complexity of setup, a steep learning curve, and a more intuitive setup process.

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

OpenText Diagnostics receives positive feedback for straightforward deployment and responsive customer service. Elastic Observability faces criticism for its complicated deployment process but receives commendation for detailed documentation and community support.

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

Users find OpenText Diagnostics to be cost-effective with a good ROI. Elastic Observability is perceived as more expensive, but users believe the advanced features and performance justify the cost.

To learn more, read our detailed Elastic Observability vs. OpenText Diagnostics Report (Updated: March 2026).

Buyer's Guide

Elastic Observability vs. OpenText Diagnostics

March 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

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

10th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (15th), Log Management (15th), Container Monitoring (5th), Cloud Monitoring Software (11th)

OpenText Diagnostics

Ranking in Application Performance Monitoring (APM) and Observability

59th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.2%, down from 5.9% 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 (%)
Elastic Observability	2.2%
OpenText Diagnostics	0.6%
Other	97.2%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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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

"The solution allows us to dig deep into data."

"The price is very less expensive compared to the other solutions."

"The architecture and system's stability are simple."

"Machine learning is the most valuable feature of this solution."

"The product has connectors to many services."

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."

"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."

More Elastic Observability 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."

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

Cons

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"Elastic Observability’s price could be improved."

"When opening tickets, we cannot use our team mailbox."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

"More web features could be added to the product."

"There is room for improvement regarding its APM capabilities."

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

More Elastic Observability cons

"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 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."

Pricing and Cost Advice

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"Pricing is one of those situations where the more you use it, the more you pay."

"The product is not that cheap."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"The product’s pricing needs improvement."

More Elastic Observability pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

Government

Performing Arts

13%

Manufacturing Company

Financial Services Firm

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

No data available

Questions from the Community

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

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What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

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Comparisons

Dynatrace vs Elastic Observability

Compared 6% of the time

Grafana vs Elastic Observability

Compared 6% of the time

New Relic vs Elastic Observability

Compared 5% of the time

Sentry vs Elastic Observability

Compared 5% of the time

Datadog vs Elastic Observability

Compared 4% of the time

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Dynatrace vs OpenText Diagnostics

Compared 18% of the time

Splunk AppDynamics vs OpenText Diagnostics

Compared 16% of the time

Splunk Observability Cloud vs OpenText Diagnostics

Compared 15% of the time

Correlsense SharePath vs OpenText Diagnostics

Compared 13% of the time

Broadcom DX Application Performance Management vs OpenText Diagnostics

Compared 9% of the time

More OpenText Diagnostics Competitors

Product Reports

Buyer's Guide

Elastic Observability

March 2026

Download Elastic Observability product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

March 2026

Download OpenText Diagnostics product report

Also Known As

No data available

Micro Focus Diagnostics, MF Diagnostics

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

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

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

BSkyB, Alior Bank

Buyer's Guide

Elastic Observability vs. OpenText Diagnostics

March 2026

Free Report: Elastic Observability vs. OpenText Diagnostics

Find out what your peers are saying about Elastic Observability vs. OpenText Diagnostics and other solutions. Updated: March 2026.

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