OpenText AI Operations Management and New Relic compete in the field of IT operations and application performance monitoring. New Relic holds a slight advantage due to its user-friendly application monitoring and real-time transaction tracking.
Features: OpenText AI Operations Management's standout features include a comprehensive dashboard aggregating event data, integration capabilities for scalability, and automation enhancements. New Relic offers seamless application performance monitoring, real-time transaction tracking, and intuitive dashboards with powerful analytics tools.
Room for Improvement: OpenText could enhance ease of use, refine its UI, and simplify its licensing model. New Relic should address data privacy concerns, improve its pricing structure, and make its alerting system more intuitive.
Ease of Deployment and Customer Service: OpenText AI Operations Management requires a complex on-premises setup, demanding expertise and facing mixed reviews for technical support efficiency. New Relic, as a cloud-based solution, allows faster deployment with ease of scaling but also experiences varied feedback on support quality.
Pricing and ROI: OpenText often targets larger enterprises, being seen as expensive due to its detailed licensing, but it improves ROI through its automation capabilities. New Relic offers a flexible pricing model that aligns with usage, though some find it costly while scaling, yet its APM strengths significantly enhance operational insights and ROI.
Issues that could be solved quickly sometimes take longer because they go around in circles.
I have reached out to customer support multiple times for various cases, particularly for customization such as creating dashboards, and my experience has been good.
OpenText goes out to bring the right people to answer any inquiries I have.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
New Relic can get pricey for larger organizations.
Splunk is more business-friendly due to its prettier interface.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
Your data is monitored end to end, which could be directly linked with the SLA and SLO.
New Relic has positively impacted my organization by providing faster detection capabilities, allowing us to easily find issues, which is the best advantage.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
| Product | Market Share (%) |
|---|---|
| New Relic | 13.4% |
| OpenText AI Operations Management | 2.8% |
| Other | 83.8% |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 61 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| 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.
We monitor all IT Operations Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
