

OpenText AI Operations Management and PubSub+ Platform are key players in the IT management and event-driven architecture sectors. OpenText takes the lead with its comprehensive monitoring capabilities, while PubSub+ stands out for its scalability and flexible message transport.
Features: OpenText AI Operations Management provides robust event correlation, advanced automation, and infrastructure monitoring. It also offers a unified dashboard for faster root cause analysis. PubSub+ Platform features include an event mesh, distributed architecture, and high scalability, facilitating it as a protocol-agnostic solution for seamless integration across various protocols.
Room for Improvement: OpenText AI Operations Management users face complexities in setup and high costs, along with a need for better AI capabilities and integration options. Its user interface and dashboards could be more intuitive. PubSub+ Platform requires enhancements in integration, user-friendliness, and cost-effectiveness. Users find its architecture complex and desire more guidance for new users.
Ease of Deployment and Customer Service: OpenText AI Operations Management primarily supports on-premises and hybrid environments but is criticized for its complex deployment and inconsistent technical support. PubSub+ Platform offers deployment versatility across clouds, yet receives mixed reviews on customer service due to support challenges linked to its offshore operations.
Pricing and ROI: OpenText AI Operations Management is seen as costly due to its complex licensing, but its automation capabilities contribute to operational efficiencies and ROI. PubSub+ Platform boasts flexible pricing tiers and a free version for basic uses, with its strong message brokering reducing infrastructure costs, making it a worthwhile investment despite high initial expenses.
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.
I have looked into PubSub+ Platform's support forums to read and understand a few things that I did not understand.
The stability and scalability depend on architectural considerations and the company's specific situation.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
I think the stability of PubSub+ Platform is pretty good, and I would rate it at eight.
You need to see the big picture and understand what the customer's pain points are to find the right tuning.
Splunk is more business-friendly due to its prettier interface.
It was as impressive as Kafka, better than Kafka based on my experience working on the Solace and Kafka white paper.
The analytics tools integrated within PubSub+ Platform are good, as it has already integrated with cloud logging and the cloud logging features, making the analytics pretty good already.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
This automation significantly reduces manual intervention in ticket handling.
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.
The solution's ability to decouple message producers and consumers allows us to have high cohesion and low coupling, making it an excellent solution for that purpose.
The best features of PubSub+ Platform include being highly scalable, allowing us to handle billions and billions of events.
| Product | Market Share (%) |
|---|---|
| OpenText AI Operations Management | 7.6% |
| PubSub+ Platform | 1.5% |
| Other | 90.9% |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
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.
PubSub+ Platform is designed for real-time message publishing and outstanding interoperability. With features like intuitive administration and topic filtering, it offers both stability and high performance for scalable deployments across diverse scenarios.
PubSub+ Platform enhances data integration with its event mesh and seamless protocol compatibility, providing a comprehensive solution for organizations tracking shipments, generating reports, and managing transactions. Its granular topic filtering and WAN optimization ensure high utility in event-driven applications and cloud deployments. Users highlight the platform's intuitive administration and ease of management, though some seek improved integration with third-party tools and enhanced observability. Concerns include scalability for large payloads and training resource availability. Despite its interface complexity, PubSub+ remains valuable for trading and market data distribution.
What are the key features of PubSub+ Platform?PubSub+ Platform is widely implemented for asynchronous messaging in industries like finance for trading and market data, logistics for shipment tracking, and tech operations management. It enables companies to modernize applications while ensuring data accuracy and efficiency across global systems.
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