

OpenText AI Operations Management and New Relic are both competitors in the IT operations management domain. New Relic seems to have an upper hand in terms of ease of deployment and customer experience.
Features: OpenText AI Operations Management centralizes alerts and offers integration capabilities with event consolidation and topology-based statistics, enhancing visibility across departments. Meanwhile, New Relic stands out with custom dashboards, real-time performance insights, and deep transaction traces that enhance user experience and application health.
Room for Improvement: OpenText AI Operations Management needs to address stability issues, ease of upgrades, and setup complexity, along with better reporting. New Relic should enhance data privacy controls, improve error insight depth, and simplify its pricing model.
Ease of Deployment and Customer Service: OpenText AI Operations Management is primarily on-premises with mixed support experiences; some users appreciate dedicated technical support, while others face delays. New Relic, focused on cloud deployment, provides flexible deployment options and is praised for customer service, though some find its licensing complex.
Pricing and ROI: OpenText AI Operations Management is considered expensive, especially for smaller companies, with recognized ROI potential if licensing complexities are managed. New Relic, offering from free to premium tiers based on usage, provides value through comprehensive monitoring capabilities, with scalable costs that may become high for large deployments.
There is return on investment because since we reduced the downtime, we can definitely save a lot of money within that period.
There is a definite return on investment for New Relic, as we would not have invested in building its infrastructure if there were no returns.
One of the metrics that helped as a return on investment was the ability to detect issues faster and troubleshoot more quickly, which in turn helped to achieve a much better service level agreement with customers.
If I drop an email to them, they will respond quickly to my email.
Customer support from New Relic is very good, and we rarely need to create support tickets.
They are very polite and helped him out.
OpenText goes out to bring the right people to answer any inquiries I have.
My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.
We currently use New Relic for tens of thousands of developers and hundreds of teams within our organization, and we have not encountered any scalability issues.
It is also suitable for cloud native architectures, SaaS, or software as a service, and for high volume data ingestion also.
New Relic's scalability is good based on my experience, and it can handle my organization's needs as they grow.
The stability and scalability depend on architectural considerations and the company's specific situation.
New Relic lags sometimes.
New Relic is stable based on my experience, as I have not seen any problems with the UI.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Because of the pricing model, organizations have experienced uncontrolled costs and were not able to afford New Relic.
Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized.
Splunk is more business-friendly due to its prettier interface.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
New Relic is very useful for teams that don't have much of a dedicated DevOps team but want to have observability for their platform, and it's an easy way to get started.
New Relic has positively impacted our organization by reducing errors, improving performance, and saving time.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
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.
| Product | Market Share (%) |
|---|---|
| New Relic | 10.5% |
| OpenText AI Operations Management | 4.0% |
| Other | 85.5% |

| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 71 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
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?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.
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