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Control-M VS AWS Batch

Compare Control-M VS AWS Batch and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Control-M logo Control-M

Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

AWS Batch logo AWS Batch

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS.
  • Control-M Landing page
    Landing page //
    2023-07-12
  • AWS Batch Landing page
    Landing page //
    2023-02-21

Control-M videos

+ Add

Control-M Version 8 Overview

More videos:

  • Review - Control-M Self Service Overview
  • Review - Connect With Control-M: Control-M/Server 9 High Availability

AWS Batch videos

+ Add

How AWS Batch Works

More videos:

  • Review - Live from the London Loft | AWS Batch: Simplifying Batch Computing in the Cloud
  • Review - AWS re:Invent 2018: AWS Batch & How AQR leverages AWS to Identify New Investment Signals (CMP372)

Category Popularity

0-100% (relative to Control-M and AWS Batch)

Control-M

AWS Batch

IT Automation
100 100%
IT Automation
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

Share your experience with using Control-M and AWS Batch. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Control-M and AWS Batch

Control-M Reviews

Top 10 Control-M Alternatives in ’23
Job scheduling: On G2, the job scheduling feature receives the highest score with 9.4. However, Control-M alternatives, ActiveBatch and Redwood obtain higher scores for each category under functionality than Control-M (See Figure 5). Integrations/APIs: A user mentioned API and integration to other applications as a weak capability of the tool (Figure 1).
Source: research.aimultiple.com
9 Control-M Alternatives & Competitors In 2023
Verdict: Redwood platform offers better performance and visibility than the Control-M. This tool supports over 25 scripting languages and interfaces such as Python, R, and PowerShell with built-in syntax highlighting and parameter replacement. It also features advanced architecture and provides safe passage to businesses looking for Control-M alternatives through its...
Source: www.softwaretestingmaterial.com
The Top 5 BMC Control-M API Alternatives
Control-M Reports provide insights into job execution and performance. While the BMC Control-M interface provides robust reporting capabilities, there are also alternatives to generate reports using tools such as SQL and Hadoop. These tools can extract data from Control-M job logs and generate custom reports based on specific business requirements.
Source: www.redwood.com

AWS Batch Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
AWS Batch: This is used for batch computing jobs on AWS resources. It has insane scalability and is well-suited for engineers look to do large compute jobs.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, AWS Batch seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Control-M mentions (0)

We have not tracked any mentions of Control-M yet. Tracking of Control-M recommendations started around Mar 2021.

AWS Batch mentions (14)

  • Looking for a decent (self hostable) program to orchestrate scripts, notify on failures, etc
    After moving off Jenkins, I moved everything to AWS Batch with Fargate. This works quite well, but it is proving to be a little expensive, as I have to pay for:. Source: 10 months ago
  • Hosting strategy suggestions
    If you're looking for more control over your infrastructure and want to run a full computing environment, EC2 might be the right choice for you. With EC2, you have complete control over the operating system, network, and storage, which can be useful if you need to install custom software or use specific hardware configurations. Additionally, EC2 + Batch processing provide a wider range of instance types, including... Source: about 1 year ago
  • Questions for bioinformatics researchers that use AWS
    AWS Batch is the equivalent of a university cluster you submit to with slurm/sge/lsf/etc. But does not use those schedulers as AWS has their own. Source: about 1 year ago
  • Scheduling "Fetch & Run" Batch Jobs with AWS Batch and CloudWatch Rules
    Developers frequently use batch computing to access significant amounts of processing power. You may perform batch computing workloads in the AWS Cloud with the aid of AWS Batch, a fully managed service provided by AWS. It is a powerful solution that can plan, schedule, and execute containerized batch or machine learning workloads across the entire spectrum of AWS compute capabilities, including Amazon ECS, Amazon... - Source: dev.to / about 1 year ago
  • can you run OS applications in lambda layers?
    As others mentioned, you *can*. It might be easier with AWS Batch (https://aws.amazon.com/batch/) depending on what you're trying to do. Source: over 1 year ago
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What are some alternatives?

When comparing Control-M and AWS Batch, you can also consider the following products

ManageEngine RecoveryManager Plus - RecoveryManager Plus is one such enterprise backup solution which has the ability to easily backup and restores both the domain controllers and virtual machines.

AWS Lambda - Automatic, event-driven compute service

Heroku Enterprise - Heroku Enterprise is a flexible IT management for developers that lets them build apps using their preferred languages and tools like Ruby, Java, Python and Node.

Nuclio - Nuclio is an open source serverless platform.

SECDO - SECDO offers automated endpoint security and incident response solutions

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

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