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Dataloop AI VS Control-M

Compare Dataloop AI VS Control-M and see what are their differences

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Dataloop AI logo Dataloop AI

Enterprise grade data platform for AI systems in development and in production.

Control-M logo Control-M

Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.
  • Dataloop AI Landing page
    Landing page //
    2023-10-21

Dataloop is an enterprise grade data platform for AI systems in development and in production, providing an end-to-end data workflow including image, video and audio data annotation, quality control, data management, automation pipelines and autoML.

  • Control-M Landing page
    Landing page //
    2023-07-12

Dataloop AI

Categories
  • AI
  • Data Science And Machine Learning
  • Online Work
  • Video Annotation
  • Image Annotation
  • Data Management
Website dataloop.ai
Platforms
Web
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Control-M

Categories
  • IT Automation
  • Workload Automation
  • Workflow Automation
  • Workflow Management
  • Data Automation
Website bmc.com
Platforms
-
Edit details

Dataloop AI videos

+ Add

Auto annotation of objects using Dataloop AI

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

Category Popularity

0-100% (relative to Dataloop AI and Control-M)

Dataloop AI

Control-M

Image Annotation
100 100%
Image Annotation
0% 0
IT Automation
0 0%
IT Automation
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

Share your experience with using Dataloop AI and Control-M. 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 Dataloop AI and Control-M

Dataloop AI Reviews

Top Video Annotation Tools Compared 2022
Dataloop aims to drive AI to production with end-to-end data management, automation pipelines, and a quality-first data labeling platform. Their video annotation features includes:
Source: innotescus.io

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

What are some alternatives?

When comparing Dataloop AI and Control-M, you can also consider the following products

Labelbox - Build computer vision products for the real world

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.

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

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.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

SECDO - SECDO offers automated endpoint security and incident response solutions

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