Software Alternatives, Accelerators & Startups

Control-M VS Spring Batch

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

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Control-M logo Control-M

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

Spring Batch logo 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 features and specs

  • Comprehensive Job Scheduling
    Control-M provides an extensive range of job scheduling capabilities, supporting various environments and platforms, which ensures that all workflows and batch jobs can be managed consistently and efficiently.
  • Ease of Use
    The user interface is intuitive and user-friendly, making it easier for both technical and non-technical users to manage job workflows without extensive training.
  • Scalability
    Control-M scales effortlessly, accommodating the needs of small businesses to large enterprises, without compromising on performance.
  • Integrations
    It seamlessly integrates with numerous applications and technologies, including cloud services, databases, ERP systems, and more, which makes it versatile across different IT landscapes.
  • Advanced Automation Features
    Provides advanced automation capabilities such as predictive analytics, machine learning, and DR capabilities that enhance efficiency and reduce manual intervention.
  • Robust Reporting
    Offers powerful reporting tools and dashboards that provide actionable insights and visibility into job performance and system health.

Possible disadvantages of Control-M

  • Cost
    The comprehensive features and enterprise-level capabilities come at a high cost, which may be prohibitive for smaller organizations.
  • Complexity in Initial Setup
    The initial installation and configuration can be complex and require significant investment in time and resources to set up properly.
  • Learning Curve
    Despite its user-friendly interface, the depth and breadth of features can result in a steep learning curve for new users, necessitating substantial training.
  • Resource Intensive
    Control-M can be resource-intensive, requiring considerable computing resources to run efficiently, which might be a constraint for organizations with limited IT infrastructure.
  • Dependency on Vendor Support
    While support is robust, the complexity of the system can sometimes necessitate frequent interaction with vendor support, which can be time-consuming.
  • Customization Challenges
    While the tool is highly configurable, extensive customization can become complicated and may require professional services or advanced knowledge.

Spring Batch features and specs

No features have been listed yet.

Control-M videos

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

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)
IT Automation
100 100%
0% 0
Databases
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
ETL
0 0%
100% 100

User comments

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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).
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...
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.
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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 Kylin - OLAP Engine for Big Data

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