Control-M

Control-M

BMC Software
Eventarc

Eventarc

Google
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About

Control-M accelerates business outcomes by orchestrating complex workflows across hybrid, cloud, and on-prem environments. With centralized visibility and governance, it simplifies operational complexity, reduces risk, and increases agility. The platform’s predictive analytics, event-driven automation, and seamless integration with modern toolchains enable IT, data, and DevOps teams to automate data pipelines and application workflows reliably at scale. Backed by BMC’s expertise in intelligent automation, Control-M connects people, systems, and data to power sustainable growth and transformation. Through predictive analytics, event-driven automation, and seamless integration with modern toolchains, Control-M helps organizations reduce risk, increase agility, and accelerate innovation. Widely used in finance, healthcare, telecom, and manufacturing, it is valued for scalability, compliance, and operational resilience in mission-critical environments.

About

​Google Cloud's Eventarc is a fully managed platform that enables developers to build event-driven architectures by routing events from various sources to supported destinations. It allows for the collection of events occurring within a system and publishes them to a specified destination, facilitating the creation of loosely coupled services that react to state changes. ​Eventarc supports events from Google Cloud services, custom applications, and third-party SaaS providers, providing flexibility in event-driven application design. Developers can create triggers to route events to various destinations, such as Cloud Run services, allowing for responsive and scalable application architectures. Eventarc ensures secure event delivery by integrating with Identity and Access Management (IAM), enabling fine-grained access control over event ingestion and processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Control-M is designed for enterprise IT, DataOps, and DevOps teams that need to automate, orchestrate, and monitor complex workflows across applications, data platforms, and cloud environments from a single platform.

Audience

Developers and architects searching for a tool to implement event-driven architectures on Google Cloud

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$2400 / month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

BMC Software
Founded: 1980
United States
www.bmc.com/it-solutions/control-m.html

Company Information

Google
Founded: 1998
United States
cloud.google.com/eventarc/docs

Alternatives

Alternatives

ActiveBatch Workload Automation

ActiveBatch Workload Automation

ActiveBatch by Redwood
Tidal by Redwood

Tidal by Redwood

Redwood Software

Categories

Categories

Managed File Transfer (MFT) Features

API Integration
Authentication / Auditing
Compression
Data Sharing
Data Transmission Protocol Integration
Database Management
Encryption Support
Fail-Over / Load Balancing

Workload Automation Features

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

Integrations

Google Cloud Platform
Amazon Redshift
Bitbucket
Databricks
Dataiku
GitHub
Go
Google Cloud Identity and Access Management (IAM)
Google Cloud Key Management
Google Cloud Pub/Sub
Google Cloud Run
Google Kubernetes Engine (GKE)
Hadoop
IBM DataStage
Java
Jenkins
Matillion
Microsoft Azure
Ruby
SAP Datasphere

Integrations

Google Cloud Platform
Amazon Redshift
Bitbucket
Databricks
Dataiku
GitHub
Go
Google Cloud Identity and Access Management (IAM)
Google Cloud Key Management
Google Cloud Pub/Sub
Google Cloud Run
Google Kubernetes Engine (GKE)
Hadoop
IBM DataStage
Java
Jenkins
Matillion
Microsoft Azure
Ruby
SAP Datasphere
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