Elastic Observability vs OpenText Diagnostics comparison

Elastic and OpenText are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #7 with an average rating of 8.1, while OpenText is ranked #63. Elastic holds a 4.8% mindshare in APM, compared to OpenText’s 0.2% 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 27 Elastic Observability reviews

10,346 Views
9,104 Comparison Views

88% willing to recommend

OpenText Diagnostics

Read 4 OpenText Diagnostics reviews

459 Views
450 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: July 2025).

Buyer's Guide

Elastic Observability vs. OpenText Diagnostics

July 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

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

7th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (10th), Log Management (16th), Container Monitoring (4th), Cloud Monitoring Software (6th)

OpenText Diagnostics

Ranking in Application Performance Monitoring (APM) and Observability

63rd

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 4.8%, down from 5.9% compared to the previous year. The mindshare of OpenText Diagnostics is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Adelina Craciun

Product Owner at Swisscom

Customization enables tailored monitoring and alerting across departments

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

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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

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

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

"Its diverse set of features available on the cloud is of significant importance."

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

"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."

"The solution is open-source and helps with back-end logging. It is also easy to handle."

"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 over a month from multiple data sources can be completed within seconds."

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

More Elastic Observability pros

"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

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"The price is the only issue in the solution. It can be made better and cheaper."

"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"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."

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

More Elastic Observability 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."

"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

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

"The price of Elastic Observability is expensive."

"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."

"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."

"We have been using the open-source version."

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

"Elastic Observability's pricing could be better for small-scale users."

"The product is not that cheap."

More Elastic Observability pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...

See all answers

What needs improvement with Elastic Observability?

I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...

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Comparisons

Sentry vs Elastic Observability

Compared 14% of the time

New Relic vs Elastic Observability

Compared 13% of the time

Dynatrace vs Elastic Observability

Compared 12% of the time

Grafana vs Elastic Observability

Compared 9% of the time

Zabbix vs Elastic Observability

Compared 8% of the time

More Elastic Observability Competitors

Dynatrace vs OpenText Diagnostics

Compared 43% of the time

Splunk AppDynamics vs OpenText Diagnostics

Compared 32% of the time

Broadcom DX Application Performance Management vs OpenText Diagnostics

Compared 25% of the time

More OpenText Diagnostics Competitors

Product Reports

Buyer's Guide

Elastic Observability

July 2025

Download Elastic Observability product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

July 2025

Download OpenText Diagnostics product report

Also Known As

No data available

Micro Focus Diagnostics, MF Diagnostics

Overview

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.

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

July 2025

Free Report: Elastic Observability vs. OpenText Diagnostics

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