OpenText AI Operations Management vs Splunk Observability Cloud comparison

OpenText AI Operations Management vs. Splunk Observability Cloud

December 2025

Download the complete report

Helped 881,114 peers since 2012

Review summaries and opinions

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

ROI

Sentiment score

5.6

Organizations experience differing returns on OpenText AI Operations, with up to 90% gains from module integration and orchestration.

Sentiment score

6.9

Splunk Observability Cloud boosts ROI with improved efficiency, reduced downtime, faster problem resolution, and significant operational savings.

No quotes available

For more quotes and insights, download the OpenText AI Operations Management report

Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.

For more quotes and insights, download the Splunk Observability Cloud report

Senior Manager at a financial services firm with 10,001+ employees

Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.

EdwardShim

General Manager at MOCOMSYS

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.

Taiwo Ige

IT Operations Engineer at ABC Supply Co. Inc.

Customer Service

Sentiment score

5.1

OpenText AI Operations Management's customer service is responsive, but technical support quality varies due to offshoring and time zone issues.

Sentiment score

7.1

Splunk Observability Cloud's customer service is responsive and helpful but experiences issues with delays and limited staffing in regions.

OpenText goes out to bring the right people to answer any inquiries I have.

Data Platforms Manager at a media company with 5,001-10,000 employees

My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.

For more quotes and insights, download the OpenText AI Operations Management report

Product Line Manager at a tech consulting company with 11-50 employees

On a scale of 1 to 10, the customer service and technical support deserve a 10.

reviewer2755917

Systems Administrator at a insurance company with 1,001-5,000 employees

They have consistently helped us resolve any issues we've encountered.

Juan Baez

Software Engineer at UKG

They often require multiple questions, with five or six emails to get a response.

For more quotes and insights, download the Splunk Observability Cloud report

Splunk Observability Expert

Scalability Issues

Sentiment score

7.4

OpenText AI Operations excels in managing large-scale deployments, supporting diverse infrastructures with some performance tuning required.

Sentiment score

7.3

Splunk Observability Cloud scales well but can be costly, requiring careful management of pricing and metric limits.

The stability and scalability depend on architectural considerations and the company's specific situation.

For more quotes and insights, download the OpenText AI Operations Management report

Product Line Manager at a tech consulting company with 11-50 employees

We've used the solution across more than 250 people, including engineers.

Splunk Observability Expert

As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.

Lalatendu Swain

Application Developer at UMB Financial

I would rate its scalability a nine out of ten.

For more quotes and insights, download the Splunk Observability Cloud report

Senior Manager at a financial services firm with 10,001+ employees

Stability Issues

Sentiment score

6.9

OpenText AI Operations Management is generally stable and reliable, with minor issues during upgrades and environmental changes.

Sentiment score

7.7

Splunk Observability Cloud offers reliable performance with minimal issues, quickly resolving occasional glitches, leading to high user satisfaction.

We are following approximately 10,000 metrics and logs, and the platform performs pretty well.

For more quotes and insights, download the OpenText AI Operations Management report

Product Line Manager at a tech consulting company with 11-50 employees

I would rate its stability a nine out of ten.

Muhammad M

Head of DevOps at a tech services company with 1-10 employees

We rarely have problems accessing the dashboard or the page.

For more quotes and insights, download the Splunk Observability Cloud report

Splunk Observability Expert

Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.

EdwardShim

General Manager at MOCOMSYS

Room For Improvement

OpenText AI Operations Management needs scalability, UI improvements, simplified licensing, better integration, enhanced support, and cost-effective solutions.

Splunk Observability Cloud needs improved integration, cost transparency, better UI, enhanced AI, customization, stability, and streamlined processes.

Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized.

Product Line Manager at a tech consulting company with 11-50 employees

Splunk is more business-friendly due to its prettier interface.

For more quotes and insights, download the OpenText AI Operations Management report

Data Platforms Manager at a media company with 5,001-10,000 employees

The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.

Taiwo Ige

IT Operations Engineer at ABC Supply Co. Inc.

The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.

Sarah Van Zee

Systems Monitoring Engineer II at a government with 10,001+ employees

There is room for improvement in the alerting system, which is complicated and has less documentation available.

Muhammad M

Head of DevOps at a tech services company with 1-10 employees

For more quotes and insights, download the Splunk Observability Cloud report

Setup Cost

OpenText AI Operations Management is costly initially but offers flexible pricing, automation benefits, and moderate affordability despite complexity.

Splunk Observability Cloud is costly but offers negotiable and flexible pricing justified by its features and solutions.

From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.

For more quotes and insights, download the OpenText AI Operations Management report

Data Platforms Manager at a media company with 5,001-10,000 employees

Splunk is a bit expensive since it charges based on the indexing rate of data.

For more quotes and insights, download the Splunk Observability Cloud report

Senior Manager at a financial services firm with 10,001+ employees

It is expensive, especially when there are other vendors that offer something similar for much cheaper.

Ernesto Gutierrez

Solutions Architect at Ikusi

It appears to be expensive compared to competitors.

Muhammad M

Head of DevOps at a tech services company with 1-10 employees

Valuable Features

OpenText AI Operations Management enhances IT efficiency with integration, event correlation, automation, anomaly detection, scalability, and customizable dashboards.

Splunk Observability Cloud offers user-friendly dashboards, AI analytics, and seamless integration, improving visibility, issue resolution, and operational performance.

This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.

Data Platforms Manager at a media company with 5,001-10,000 employees

We have a platform where we are collecting metrics, logs, and traces for OpenText AI Operations Management, and if there is an anomaly, we directly open a ticket in our ITSM system.

For more quotes and insights, download the OpenText AI Operations Management report

Product Line Manager at a tech consulting company with 11-50 employees

Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.

Senior Manager at a financial services firm with 10,001+ employees

For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.

For more quotes and insights, download the Splunk Observability Cloud report

Splunk Observability Expert

It offers unified visibility for logs, metrics, and traces.

Mary Vasantha Golleru

Administrator at a tech vendor with 10,001+ employees

Categories and Ranking

OpenText AI Operations Mana...

Ranking in Cloud Monitoring Software

20th

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Event Monitoring (7th), IT Operations Analytics (7th)

Splunk Observability Cloud

Ranking in Cloud Monitoring Software

6th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (8th), Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)

Mindshare comparison

As of January 2026, in the Cloud Monitoring Software category, the mindshare of OpenText AI Operations Management is 0.9%, up from 0.3% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.4%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Monitoring Software Market Share Distribution
Product	Market Share (%)
Splunk Observability Cloud	2.4%
OpenText AI Operations Management	0.9%
Other	96.7%

Cloud Monitoring Software

Featured Reviews

Unified monitoring has improved event handling but needs stronger AI automation and modern dashboards

Product Line Manager at a tech consulting company with 11-50 employees

OpenText AI Operations Management could benefit from a fully integrated AI system, which we call AIOps. A fully integrated AI operations system would be valuable in the future. Additionally, the UI experience could be more comfortable. We are not using predictive features in OpenText AI Operations Management such as anomaly detection. In the future, we may be able to operate with our customer, but we need to decide this collectively. You need to see the big picture and understand what the customer's pain points are to find the right tuning. Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized. You need to understand the exact customer needs. The predictive analytics feature is very close to being integrated, but it is not fully integrated at this time.

Read full review

Dhananjay Dileep

Senior Software Engineer at a consultancy with 10,001+ employees

Unified monitoring has improved end-to-end visibility and reduced detection time across apps

When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Monitoring Software solutions are best for your needs.

See recommendations

881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

11%

Performing Arts

Outsourcing Company

Financial Services Firm

13%

Computer Software Company

10%

Manufacturing Company

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	35

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	10
Large Enterprise	47

Questions from the Community

What is your experience regarding pricing and costs for Micro Focus Operations Bridge?

From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours. What used to be done manually by a person is now done automatically. With its automation capabilities...

What needs improvement with Micro Focus Operations Bridge?

What is your primary use case for Micro Focus Operations Bridge?

I am not looking for a monitoring solution, but I am a product manager comparing some products based on research I conducted on the PeerSpot website regarding monitoring products such as Splunk, Ap...

What do you like most about SignalFx?

The most valuable feature is dashboard creation.

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...

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 ...

OpsRamp vs OpenText AI Operations Management

Comparisons

Compared 8% of the time

BMC Helix Operations Management with AIOps vs OpenText AI Operations Management

Compared 8% of the time

SCOM vs OpenText AI Operations Management

Compared 7% of the time

BMC TrueSight vs OpenText AI Operations Management

Compared 7% of the time

Zabbix vs OpenText AI Operations Management

Compared 6% of the time

More OpenText AI Operations Management Competitors

Avantra vs Splunk Observability Cloud

Compared 3% of the time

Sentry vs Splunk Observability Cloud

Compared 3% of the time

Observe vs Splunk Observability Cloud

Compared 2% of the time

Cribl vs Splunk Observability Cloud

Compared 2% of the time

Honeycomb Enterprise vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

OpenText AI Operations Management

January 2026

OpenText AI Operations Management report

Download OpenText AI Operations Management product report

Splunk Observability Cloud

January 2026

Download Splunk Observability Cloud product report

Also Known As

Micro Focus Operations Bridge, Operations Bridge Manager, Micro Focus Operations Analytics

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

Overview

OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.

OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.

What are the key features of OpenText AI Operations Management?

Event Correlation: Integrates and correlates event data for improved incident response.
Centralized Alerts: Raises alerts efficiently to streamline IT operations.
Comprehensive Dashboard: Consolidates information for better visibility.
Hybrid Cloud Support: Manages AWS, GCP, and on-premises environments.
Automation: Enhances operations with server automation and performance management.

What benefits do users find with OpenText AI Operations Management?

Operational Efficiency: Streamlines IT processes for quicker issue resolution.
Transparency: Offers robust reporting and data centralization for clarity.
Resource Management: Improves management of IT resources and service perspectives.
Scalability: Accommodates growth with flexible architecture.
Noise Reduction: Decreases event noise to enhance response efficiency.

OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.

OpenText

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

Sample Customers

GE Money Bank, Bank AlJazira, Tech Mahindra

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara