OpenText Diagnostics vs Sumo Logic Observability comparison

OpenText and Sumo Logic are both solutions in the Application Performance Monitoring (APM) and Observability category. OpenText is ranked #62, while Sumo Logic is ranked #24 with an average rating of 8.0. OpenText holds a 0.3% mindshare in APM, compared to Sumo Logic’s 0.4% mindshare. Additionally, 75% of OpenText users are willing to recommend the solution, compared to 100% of Sumo Logic users who would recommend it.

OpenText Diagnostics

Read 4 OpenText Diagnostics reviews

549 Views
538 Comparison Views

75% willing to recommend

Sumo Logic Observability

Read 6 Sumo Logic Observability reviews

765 Views
597 Comparison Views

100% willing to recommend

OpenText Diagnostics

Sumo Logic Observability

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Executive SummaryUpdated on Jul 24, 2024

OpenText Diagnostics and Sumo Logic Observability offer solutions in the monitoring and diagnostics category. Sumo Logic Observability appears to have the upper hand due to its advanced features and scalability according to user preferences.

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

OpenText Diagnostics provides extensive diagnostic reports, detailed analysis tools, and comprehensive reporting. Sumo Logic Observability offers real-time analytics, machine learning integrations, and ease of scalability. Users highlight Sumo Logic’s advanced features and scalability as significant benefits.

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

OpenText Diagnostics could improve integration with third-party tools, its user-friendly setup process, and responsiveness in customer service. Sumo Logic Observability could enhance its alerting mechanisms, offer more in-depth training resources, and refine its user interface for better usability.

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

OpenText Diagnostics has a straightforward deployment process but needs improvement in customer service responsiveness. Sumo Logic Observability is praised for its simple and efficient deployment and excellent customer service support. Users generally find Sumo Logic superior in both deployment ease and customer service satisfaction.

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

OpenText Diagnostics is seen as cost-effective with a solid ROI, though the initial setup cost can be high. Sumo Logic Observability has higher pricing, but users feel its advanced features and reliability provide significant ROI. Many users find Sumo Logic’s superior features justify the higher price.

To learn more, read our detailed OpenText Diagnostics vs. Sumo Logic Observability Report (Updated: September 2025).

Buyer's Guide

OpenText Diagnostics vs. Sumo Logic Observability

September 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

OpenText Diagnostics

Ranking in Application Performance Monitoring (APM) and Observability

62nd

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Sumo Logic Observability

Ranking in Application Performance Monitoring (APM) and Observability

24th

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (17th), AIOps (11th)

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of OpenText Diagnostics is 0.3%, up from 0.2% compared to the previous year. The mindshare of Sumo Logic Observability is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Sumo Logic Observability	0.4%
OpenText Diagnostics	0.3%
Other	99.3%

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.

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Shamshir Nangla

Site Reliability Engineer at LHV Bank

Getting up and running is easy, even for a newbie but management of searches definitely needs improvement

Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

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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

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

"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."

"I have not seen any stability issues in the product."

"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."

"The product is easy to learn."

"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."

"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."

"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."

Cons

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

"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 could be more user friendly."

"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."

"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."

"Fine-grained data can be quite frustrating to work with and should be made easier."

"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."

"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."

Pricing and Cost Advice

Information not available

"I started on the free tier to try it out, but because of our usage, we're now paying for it."

"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

13%

Financial Services Firm

12%

Manufacturing Company

Transportation Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about Sumo Logic Observability?

The product is easy to learn.

See all answers

What needs improvement with Sumo Logic Observability?

The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...

See all answers

What is your primary use case for Sumo Logic Observability?

We used it for log observability – log aggregation specifically.

See all answers

Comparisons

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Compared 32% of the time

Splunk AppDynamics vs OpenText Diagnostics

Compared 21% of the time

Broadcom DX Application Performance Management vs OpenText Diagnostics

Compared 18% of the time

Correlsense SharePath vs OpenText Diagnostics

Compared 16% of the time

Omnipliance vs OpenText Diagnostics

Compared 13% of the time

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Dynatrace vs Sumo Logic Observability

Compared 31% of the time

Amazon OpenSearch Service vs Sumo Logic Observability

Compared 28% of the time

Honeycomb Enterprise vs Sumo Logic Observability

Compared 15% of the time

Amazon CloudWatch vs Sumo Logic Observability

Compared 14% of the time

New Relic vs Sumo Logic Observability

Compared 13% of the time

More Sumo Logic Observability Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

September 2025

Download OpenText Diagnostics product report

Buyer's Guide

Sumo Logic Observability

September 2025

Download Sumo Logic Observability product report

Also Known As

Micro Focus Diagnostics, MF Diagnostics

No data available

Overview

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

Sumo Logic Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.

Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.

What features make Sumo Logic Observability effective?

Well-Crafted Dashboards: Customizable options for monitoring.
Flexible Query Language: Allows detailed log searches.
Centralized Management: Enables teams to work on one platform.
Near-Real-Time Updates: Enhances timely incident resolution.
Custom Field Creation: Facilitates user-specific data requirements.

How does Sumo Logic Observability benefit organizations?

Unified Platform: Brings teams together for streamlined operations.
Enhanced Integrations: Improves log search accuracy.
Tailored for SIEM: Supports security needs with efficient log management.
Efficient Data Monitoring: Automates processes for ease of management.
Scalability: Handles large data volumes efficiently.

Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.

Sumo Logic

Sample Customers

BSkyB, Alior Bank

Information Not Available

Buyer's Guide

OpenText Diagnostics vs. Sumo Logic Observability

September 2025

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