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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.

What is Astro by Astronomer?

Astronomer serves as the key player behind Apache Airflow, which has become the industry standard for defining data workflows through code. With over 4 million downloads each month, Airflow is actively utilized by countless teams across the globe. To enhance the accessibility of reliable data, Astronomer offers Astro, an advanced data orchestration platform built on Airflow. This platform empowers data engineers, scientists, and analysts to create, execute, and monitor pipelines as code. Established in 2018, Astronomer operates as a fully remote company with locations in Cincinnati, New York, San Francisco, and San Jose. With a customer base spanning over 35 countries, Astronomer is a trusted ally for organizations seeking effective data orchestration solutions. Furthermore, the company's commitment to innovation ensures that it stays at the forefront of the data management landscape.

Media

Media

Integrations Supported

Databricks
Docker
Fivetran
GitHub
Google Cloud Platform
Jenkins
Microsoft Azure
Snowflake
Amazon Redshift
CircleCI
IBM DataStage
SPARK

Integrations Supported

Databricks
Docker
Fivetran
GitHub
Google Cloud Platform
Jenkins
Microsoft Azure
Snowflake
Apache Kylin
Discord
Facebook
Great Expectations
Jira
Opsgenie
PostgreSQL
Redis

API Availability

Has API

API Availability

Has API

Pricing Information

$2400 / month

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Linux

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

Company Facts

Organization Name

BMC Software

Date Founded

1980

Company Location

United States

Company Website

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

Company Facts

Organization Name

Astronomer

Date Founded

2018

Company Location

United States

Company Website

www.astronomer.io

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

Categories and Features

Big Data

Data Cleansing
High Volume Processing

Data Extraction

Disparate Data Collection

Data Governance

Not specified

Data Management

Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance

Data Pipeline

Not specified

Data Preparation

Data Cleansing
Data Governance
Data Mashup
Data Transformation

DevOps

Not specified

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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