Control-M Features
Database (3)
Real-Time Data Collection
Collects, stores, and organizes massive, unstructured data in real time
Data Distribution
Facilitates the disseminating of collected big data throughout parallel computing clusters
Data Lake
Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.
Integrations (2)
Hadoop Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Spark Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Platform (3)
Machine Scaling
Facilitates solution to run on and scale to a large number of machines and systems
Data Preparation
Curates collected data for big data analytics solutions to analyze, manipulate, and model
Spark Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Processing (2)
Cloud Processing
Moves big data collection and processing to the cloud
Workload Processing
Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems
Automation (3)
Workload Processing
Based on 51 Control-M reviews. Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems
Scalability
Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality. This feature was mentioned in 51 Control-M reviews.
Intelligent Automation
Provides additional AI analytics to drive insights. This feature was mentioned in 27 Control-M reviews.
Administration (6)
Administration Console
Provides Administration tools/console that are easy to use and learn for routine maintenance tasks 48 reviewers of Control-M have provided feedback on this feature.
Workflow Management
Creates new or streamlines existing workflows to better handle IT support tickets and service. This feature was mentioned in 51 Control-M reviews.
IT Issue Identification
Utilizes data to proactively identify and prioritize IT issues. 43 reviewers of Control-M have provided feedback on this feature.
Proactive Workflow
Based on 26 Control-M reviews. Supports trust actions( recommend, manual or automated) to take a decision.
Error Alerts
Software is able to alert the user immediately in case of a fault in the processing line. This feature was mentioned in 31 Control-M reviews.
Service Management
Based on 26 Control-M reviews. Provides operational access to job scheduling on a 24/7 basis. This gives IT users a flexible point of access to control workloads.
Functionality (9)
Job Scheduling
Based on 62 Control-M reviews. Automates IT related to the running of batch Jobs.
API / Integrations
Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications. 44 reviewers of Control-M have provided feedback on this feature.
Integrations
As reported in 31 Control-M reviews. Provides true integration with multi vendor tools to ensure business continuity.
Deployment-Ready Staging
Maintain, or facilitate maintenance of, tested and approved code in a deployment-ready state for manual pushes to production.
Integration
Integrate with other development and testing software, such as continuous integration or test automation tools.
Extensible
Plug-in capable for added resources, features, and functions within the product itself.
Integrations
Integrates with other development and testing software, such as continuous delivery or test automation tools.
Extensibility
Plug-in capable for added resources, features, and functions within the product itself.
Test Customization
Enables full control over test types and parameter definitions for effective automated testing.
Management (6)
Processes and Workflow
Designate the necessary tasks and workflows for a team's unique development cycle.
Reporting
Generate visual dashboards and reports around development cycle progress.
Automation
Automate repository detection, version control, testing, and more.
Automation
Fully automates repetitive or tediuos tasks to ease developer workload.
Processes and Workflow
Designates the necessary tasks and workflows for a team's unique development cycle.
Reporting
Generates visual dashboards and reports around development cycle progress.
Development (5)
Real-Time Integration
Supports event or transaction based integrations that react to changes in real-time
Flow Designer
Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.
Pre-Built Connectors
Facilitiates API development and integrations with prebuilt connectors, templates, and examples.
Custom Connectors
Provides the ability to create connectors from existing services and APIs in catalog.
Reusable connectors
Provides prebuilt, reusable connectors and workflows for all user integration requirements.
Management (5)
Monitoring & Notification
Console for monitoring resource utilization, system health, ability to start and stop processes, etc.
Routing And Orchestration
Enables data routing on configuration basis and management of complex workflows through an orchestration engine.
Data Mapping
Facilitates to and fro data map according to the data model between applications/web services.
Data Transformation
Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system.
API Management
Supports and oversees the management of API products across their full lifecycle
Security (3)
Data Encryption
Employs data encryption both at rest and in transit.
Security Standards
Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.
Communication Protocol
Supports secure communication protocols like FTPS, SFTP etc
Integration Options (4)
Data Virtualization
Integrates data from disparate sources, without physical data movement
Managed File Transfers
Provides one or more methods to securely transfer data from one location to another through a network
Big Data Processing
Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)
EDI
Provides Integrations to EDI service providers.
Deployment (2)
Hybrid
Supports deployment of integration apps both on-premisis and cloud environments/
Cloud to Cloud
Supports deployment of integration apps to a managed cloud environment
Automation Support - Runbook Automation (4)
Common Tool Integration
Integrates seamlessly with common IT management tools.
Scripting Language Support
Supports various scripting languages for automation flexibility.
Routine Task Automation
Handles the automation of routine IT tasks like system restarts and application deployments.
Automated Task Notifications
Provides notification mechanisms for automated tasks.
Error Management - Runbook Automation (3)
Runbook Procedure Updates
Handles updates to runbook procedures efficiently.
Recovery Options
Provides robust recovery options for automated processes.
Error Management in Automation
Manages errors effectively during automated processes.
Customization - Runbook Automation (3)
Runbook Customization
Offers flexible features for creating and customizing runbooks.
Workflow Customization
Allows customization of workflows and logics.
Incident Response Customization
Allows customization of responses to IT incidents.
Compliance and Reporting - Runbook Automation (3)
Security Management
Takes care of security patching, protection, and monitoring.
Compliance Standards Adherence
Adheres to relevant compliance standards in IT operations.
Reporting and Auditing
Includes comprehensive reporting capabilities for auditing automated processes.
Performance - Runbook Automation (3)
Self-Service for Non-IT Staff
Empowers non-IT staff with self-service options for routine tasks.
Team Collaboration Enhancement
Facilitates collaboration among IT team members.
Load Handling Performance
Performs reliably under varying loads.
Agentic AI - Continuous Integration (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Natural Language Interaction
Engages in human-like conversation for task delegation
Agentic AI - Continuous Delivery (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Natural Language Interaction
Engages in human-like conversation for task delegation
Agentic AI - Workload Automation (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Based on 10 Control-M reviews. Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
As reported in 10 Control-M reviews. Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Runbook Automation (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Natural Language Interaction
Engages in human-like conversation for task delegation
Decision Making
Makes informed choices based on available data and objectives






