

ScienceLogic and OpenText AI Operations Management compete in the IT operations management category. Based on the available data, ScienceLogic appears to have the upper hand due to its customizable features and stronger customer support.
Features: ScienceLogic stands out with customizable dashboards, dynamic applications, and multi-tenant environments, offering granular control and integration across systems. It efficiently monitors a wide range of infrastructures, including AWS services, and automates event management. OpenText AI Operations Management integrates automation and anomaly detection capabilities but is perceived as having an outdated interface. It efficiently aggregates metrics and automates ticketing processes.
Room for Improvement: ScienceLogic users desire improvements in reporting and interface simplicity, alongside better documentation and customization processes. OpenText AI Operations Management would benefit from a more integrated AI system, an improved UI, and the addition of predictive analytics to enhance user experience.
Ease of Deployment and Customer Service: ScienceLogic offers robust support for on-premises and hybrid deployments and receives praise for its customer service and technical responsiveness. In contrast, OpenText AI Operations Management, though supporting similar environments, faces criticism for slower service responses and lacks quick problem-solving capabilities, especially for newer features.
Pricing and ROI: ScienceLogic provides flexible pricing based on device tiers, appealing to enterprise customers but potentially costly for smaller organizations. Its high ROI is attributed to reduced incident resolution time and comprehensive monitoring capabilities. OpenText AI Operations Management is seen as expensive for smaller clients due to licensing complexity, yet offers cost-effective automation that saves man-hours and reduces operational costs, which appeals more to larger enterprises.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
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 received excellent support from ScienceLogic.
Problems with Skylar may require longer wait times due to limited resource expertise.
We have a lab environment to test solutions before offering them to customers, ensuring everything works correctly.
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.
The stability rating is nine out of ten, acknowledging some bugs, but indicating these are minor issues.
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.
While some other companies have easier APIs, using this solution demands significant expertise.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
It could be cheaper.
ScienceLogic is not that expensive and is cost-effective overall.
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.
Notably, its automation features, such as Runbook action, enable domain experts like me to execute one-click automation solutions, which contributes significantly to reducing MTTR.
It offers over 500 integrations with a wide range of device types, referred to as PowerPacks, which are prebuilt integrations for hundreds, if not thousands, of integration types.
The CMDB update and the automatic CMDB update are valuable.
| Product | Market Share (%) |
|---|---|
| ScienceLogic | 6.5% |
| OpenText AI Operations Management | 7.2% |
| Other | 86.3% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 11 |
| Large Enterprise | 24 |
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.
ScienceLogic excels in customizable dashboards, seamless integrations, and real-time data analysis, supporting diverse IT environments with multi-tenant capabilities.
ScienceLogic provides robust infrastructure and network monitoring, catering to cloud, applications, and server environments. It supports hybrid setups, integrating with CMDB and ticketing systems while automating incident management. ScienceLogic's PowerPacks eliminate visibility gaps and its adaptable nature supports modern and legacy systems. Offering agentless monitoring, it ensures efficient operations with scalable infrastructure support and detailed reporting. However, the interface complexity and need for professional support can present usability challenges. Enhancements in reporting, application coverage, API support, and customization are desirable for improved user experience.
What are ScienceLogic's most important features?ScienceLogic is often implemented across industries requiring detailed attention to infrastructure and network monitoring. It finds utility in managing hybrid environments, integrating seamlessly with essential systems like CMDB and ticketing platforms. Its scalability and adaptability are valued in unifying complex, diverse environments under one monitoring platform.
We monitor all Event Monitoring 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.