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What is Slurm?

Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), serves as an open-source and free job scheduling and cluster management solution designed for Linux and Unix-like systems. Its main purpose is to manage computational tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) environments, which has led to its widespread adoption by countless supercomputers and computing clusters around the world. As advancements in technology progress, Slurm continues to be an essential resource for both researchers and organizations in need of effective resource allocation. Moreover, its adaptability and ongoing updates ensure that it meets the changing demands of the computing landscape.

What is Control-M?

Control-M is a Workload Automation and orchestration platform designed to integrate applications, Data Pipelines, and infrastructure processes. The solution manages Hybrid Cloud (integrated on-premises and cloud resources) environments by providing a framework for the design, automation, and governance of workflows. According to the vendor, the platform is intended to centralize the management of operational dependencies to support organizational compliance and operational efficiency. The solution provides a shared environment for development, data, and operations teams to coordinate Workloads spanning Mainframe systems, cloud applications, and data technologies. This centralized approach is designed to provide visibility into automated processes and replace manual task coordination. Control-M includes monitoring tools intended to identify potential disruptions during process execution to maintain persistent operations. The platform utilizes Predictive Analytics and Event-Driven Automation to identify performance bottlenecks and respond to changing system conditions. The developer states that these capabilities allow operations teams to manage Service Level Agreements (SLAs) and resolve incidents with reduced manual intervention. Control-M integrates with DevOps (Development and Operations) and DataOps workflows to automate software delivery and data management. Organizations in the finance, healthcare, manufacturing, and telecommunications sectors utilize Control-M for tasks requiring high reliability and regulatory compliance. The platform is designed to consolidate fragmented operational environments into structured execution systems. The vendor states that the solution is intended to reduce technical complexity and support organizational agility through automated lifecycle management.

Media

Media

Integrations Supported

AWS Parallel Computing Service
AWS ParallelCluster
FPT AI Factory
IBM Cloud
TrinityX

Integrations Supported

Amazon Redshift
Apache Airflow
Azure Red Hat OpenShift
Databricks
Dataiku
Docker
Fivetran
Google Cloud Managed Service for Apache Airflow
Google Cloud Platform
Matillion
Microsoft Azure
SAP BW/4HANA
SAP Datasphere
SAP Integrated Business Planning (IBP)
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

$2400 / month

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

slurm.schedmd.com

Company Facts

Organization Name

BMC Software

Date Founded

1980

Company Location

United States

Company Website

www.bmc.com/it-solutions/control-m.html

Categories and Features

Cluster Management

Not specified

Job Scheduler

Not specified

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and Features

Data Pipeline

Not specified

DataOps

Not specified

DevOps

Not specified

IT Automation

Not specified

Job Scheduler

Not specified

Managed File Transfer (MFT)

API Integration
Authentication / Auditing
Data Sharing
Database Management

Runbook Automation

Not specified

Secure File Transfer

Not specified

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

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