

OpenText AI Operations Management and Devo compete in the realm of IT operations and analytics. Devo takes the upper hand due to its speed, ease of data visualization, and robust multi-tenant architecture.
Features: OpenText AI Operations Management excels in event correlation, centralizing IT operations through a consolidated dashboard. It emphasizes automation and scalability for enhanced IT efficiency. Devo provides real-time analytics with high-speed search capabilities, supported by its Activeboards. These integrate unstructured and structured data, offering extensive multi-tenancy features.
Room for Improvement: OpenText AI Operations Management struggles with implementation complexity, high resource demands, and an outdated interface. Devo needs improvements in native parsers, cloud integration support, and robust support for its multi-tenant architecture, which can increase costs due to metadata management.
Ease of Deployment and Customer Service: OpenText AI Operations Management offers flexibility with on-premises and hybrid-cloud deployments but faces criticism for its complexity. Its technical support varies in quality. Devo supports diverse deployment options including public and private clouds, with customers valuing the strong customer service provided through ingest support.
Pricing and ROI: OpenText AI Operations Management's complex licensing can be costly for smaller organizations, with unused components potentially raising costs. Its automation improves ROI by saving labor hours. Devo's pricing is competitive for ingestion, although metadata charges can surprise users. Its cost-effectiveness is appreciated, especially with 400 days of hot data storage offering substantial value despite initial costs.
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.
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.
Integrations with other sandboxes could be improved to better interpret data using AI and machine learning models.
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.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
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 (%) |
|---|---|
| OpenText AI Operations Management | 4.0% |
| Devo | 3.8% |
| Other | 92.2% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
Devo is the only cloud-native logging and security analytics platform that releases the full potential of all your data to empower bold, confident action when it matters most. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.
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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