Control-M
Control-M is a robust workload automation software that streamlines the orchestration of application workflows across diverse environments, from mainframe to cloud. It simplifies data pipeline management, integrates seamlessly with leading technologies, and enhances operational efficiency. With features like user-friendly interfaces and Jobs-as-Code, it empowers organizations to automate complex tasks efficiently.
Top Control-M Alternatives
JAMS Enterprise Job Scheduler
JAMS Enterprise Job Scheduler streamlines workload automation by managing and monitoring jobs across diverse platforms and technologies.
Apache Oozie
Apache Oozie serves as a robust workflow scheduler for managing Apache Hadoop jobs, utilizing Directed Acyclic Graphs (DAGs) to define workflows.
Stonebranch
The Stonebranch Platform offers a robust IT automation solution that seamlessly integrates on-premises and cloud environments.
Automic Automation
Broadcom’s Automic Automation offers a centralized solution for workload automation, streamlining processes across various platforms.
RunMyJobs by Redwood
RunMyJobs by Redwood is a cutting-edge workload automation software designed for enterprises.
Pure1
Pure1 is an AI-driven SaaS storage management platform designed to simplify the oversight of storage infrastructure.
ScaleOps
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IBM Workload Automation
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Keragon
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IBM Spectrum Scale
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Bluesky
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CA Workload Automation CA7
Its intelligent framework empowers businesses to streamline workflows, ensuring timely execution and improved agility in...
Slurm
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Cron To Go
With its distributed architecture, it ensures reliable job execution and timely notifications for failures, supporting...
Unified Compute Platform Advisor
It enables seamless movement of applications and workloads between data centers and UCP systems, enhancing...
Top Control-M Features
- End-to-end data pipeline visibility
- Automated file transfers
- Integration with leading technologies
- Multi-cloud deployment options
- Built-in cloud integrations
- Jobs-as-Code approach
- CI/CD toolchain compatibility
- Natural language workflow queries
- Context-aware AI assistance
- Complex workflow orchestration
- Enhanced disaster recovery capabilities
- Centralized change management
- Comprehensive reporting options
- User-friendly graphical interface
- Self-service job execution
- Efficient resource utilization
- Scalable workload management
- Secure managed file transfer
- Intuitive training resources
- Real-time job monitoring.
