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Control-M VS Spring Batch

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

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

Control-M

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

Spring Batch

Level up your Java code and explore what Spring can do for you.
  • Control-M Landing page
    Landing page //
    2023-07-12
  • Spring Batch Landing page
    Landing page //
    2023-08-26

Control-M

Categories
  • IT Automation
  • Workload Automation
  • Workflow Automation
  • Workflow Management
  • Data Automation
Website bmc.com  

Spring Batch

Categories
  • Workflow Automation
  • Databases
  • Data Dashboard
  • ETL
Website spring.io  

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

Spring Batch videos

+ Add

Spring Batch Scheduling

More videos:

  • Review - ETE 2012 - Josh Long - Behind the Scenes of Spring Batch

Category Popularity

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

Control-M

Spring Batch

IT Automation
100 100%
IT Automation
0% 0
Databases
0 0%
Databases
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Workflow Automation
86 86%
Workflow Automation
14% 14

User comments

Share your experience with using Control-M and Spring 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 Spring 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

Spring Batch Reviews

We have no reviews of Spring Batch yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Spring Batch seems to be more popular. It has been mentiond 2 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.

Spring Batch mentions (2)

What are some alternatives?

When comparing Control-M and Spring 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.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

SECDO - SECDO offers automated endpoint security and incident response solutions

Apache Kylin - OLAP Engine for Big Data

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