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Product | Market Share (%) |
---|---|
Control-M | 19.1% |
AutoSys Workload Automation | 10.2% |
IBM Workload Automation | 6.2% |
Other | 64.5% |
Company Size | Count |
---|---|
Small Business | 13 |
Midsize Enterprise | 5 |
Large Enterprise | 77 |
Company Size | Count |
---|---|
Small Business | 24 |
Midsize Enterprise | 12 |
Large Enterprise | 112 |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 1 |
Large Enterprise | 29 |
AutoSys Workload Automation efficiently manages complex workloads across platforms, offering high availability and seamless platform integration. Its reliability and scalability are valued for enterprise-level automation, enhancing job management and reducing manual effort with robust scheduling and advanced security.
AutoSys Workload Automation is known for its user-friendly capabilities, effectively handling cross-platform job scheduling with mainframe integration. It supports high availability, ensuring reliable performance for critical operations. Despite enhancements needed in its GUI and integration capabilities, AutoSys remains effective for batch processing, file transfers, ETL, and managing dependencies across servers and applications. Improvements are suggested for deployment complexity and monitoring features. More effective licensing and scalability solutions, along with modern subscription models and cloud integration, could address cost and automation barriers.
What are AutoSys Workload Automation's key features?In industries like banking, insurance, and retail, AutoSys Workload Automation facilitates 24/7 automated job execution, ensuring smooth task automation. It allows companies to manage enterprise workloads effectively, catering to batch processing, file transfers, and handling job dependencies in a consistent manner.
Control-M by BMC is engineered to manage hybrid cloud workflows, offering orchestration capabilities starting at $29,000 annually. Aimed at helping growing teams, it efficiently supports cross-environment scheduling and automation needs.
Control-M offers robust cross-platform scheduling, automation, and integration with applications such as SAP and Informatica. Users appreciate its ease of use with a graphical interface, centralized management, and monitoring capabilities. Advanced features, including Managed File Transfer, automated error handling, and real-time alerts, enhance productivity. The ability to unify workflows and support diverse environments makes Control-M a trusted tool in many sectors. While improvements in reporting flexibility and API integration with tools like ServiceNow are needed, addressing performance issues during upgrades could enhance its value. Offering improved support for new technologies and cloud environments is beneficial, with cost-effectiveness being a consideration.
What are the key features of Control-M?Control-M is leveraged in industries like finance for enterprise scheduling and data management, supporting mainframe, Linux, Unix, Windows, and cloud platforms. It contributes to workflow orchestration and workload automation, improving operational efficiency and enhancing IT infrastructure across those environments.
IBM Workload Automation streamlines scheduling with automation and dynamic workload balancing. It integrates multiple platforms, offering efficient management across diverse systems, enhancing operational productivity.
IBM Workload Automation provides end-to-end control in managing tasks across varied platforms, supporting event-based scheduling and real-time updates. Its intuitive GUI allows seamless scripting and monitoring, facilitating integration with applications like SAP and Oracle. The inclusion of FTA agents ensures efficient local dependency management, while offering versatile scheduling options. Its capability to provide a comprehensive view, manage CPU usage, and meet service level agreements positions it as a valuable tool for large-scale operations.
What are the most important features?Industries such as government, banking, and large enterprises implement IBM Workload Automation for automated scheduling, workload balancing, and batch processing. It assists in migrating from legacy systems to web-based services, integrating with numerous applications, and managing extensive daily job lists. Key functions include offshore management and backend data collection, crucial for effective resource tracking. This adaptability enables organizations to efficiently support operations while scaling workloads as needed.