Compare Apache Oozie and Control-M 
At a Glance
Market Segments
Enterprise (57.7% of reviews)
Enterprise (61.5% of reviews)
Entry-Level Pricing
No pricing available
Starting at $29,000.00 500 Executions Per Month
Apache Oozie
Star Rating
(27)4.1 out of 5
Market Segments
Enterprise (57.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache OozieControl-M
Star Rating
(157)4.3 out of 5
Market Segments
Enterprise (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Learn more about Control-MSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Control-M excels in user experience, with many praising its powerful automation and centralized workflow management. Users appreciate the ability to manage jobs across multiple systems from a single interface, making operations much easier and more efficient.
- According to verified reviews, Control-M's implementation process is notably quick and intuitive, with users highlighting how easy it is to adapt the tool as their needs change. In contrast, while Apache Oozie is described as easy to use, some users mention that it may not offer the same level of centralized management capabilities.
- Reviewers mention that Control-M provides a higher level of reliability and scalability, automating workflows across both cloud and on-premises systems. This is a significant advantage for enterprises looking for robust solutions, whereas Apache Oozie, while functional in a Hadoop environment, may not match the same reliability in diverse settings.
- Users say that Control-M's job scheduling capabilities are particularly strong, with a score that reflects its effectiveness in managing complex workflows. In comparison, while Apache Oozie offers scheduling features, some users feel that it lacks the depth and flexibility found in Control-M.
- Reviewers highlight the quality of support provided by Control-M, noting that it has been a good partner in business, which contributes to overall satisfaction. Apache Oozie's support is also appreciated, but it does not seem to reach the same level of user satisfaction as Control-M.
- According to recent feedback, Control-M's ease of use is frequently commended, with users finding it straightforward to navigate and manage workflows. On the other hand, while Apache Oozie is described as easy to use, some users indicate that it may require a bit more effort to integrate various language features into their pipelines.
Pricing
Entry-Level Pricing
Apache Oozie
No pricing availableControl-M
Starter Pack (SaaS)
Starting at $29,000.00
500 Executions Per Month
Full-featured Control-M SaaS orchestration — right-sized for growing teams and hybrid cloud apps.
- Visual Workflow Designer
- Cloud native & hybrid app integration
- API jobs, event triggers, file transfer
Free Trial
Apache Oozie
No trial information availableControl-M
No trial information availableRatings
Meets Requirements
8.3
21
9.0
95
Ease of Use
8.4
21
8.7
97
Ease of Setup
8.1
9
8.2
64
Ease of Admin
8.1
9
8.6
43
Quality of Support
8.3
18
8.5
91
Has the product been a good partner in doing business?
8.7
9
8.9
44
Product Direction (% positive)
8.3
21
8.6
93
Features by Category
Automation
8.9
17
9.1
54
8.0
17
8.8
51
Not enough data
8.1
28
Administration
8.0
15
7.9
50
8.9
16
9.0
50
7.8
16
8.4
43
Not enough data
8.3
26
Not enough data
8.5
31
Not enough data
8.5
25
Functionality
8.9
18
9.4
63
7.9
13
8.4
44
Not enough data
8.7
33
Agentic AI - Workload Automation
Not enough data
8.5
11
Not enough data
8.8
10
Not enough data
8.7
14
Not enough data
7.6
9
Not enough data
7.2
9
Not enough data
7.2
10
Not enough data
7.6
9
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Continuous Delivery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Continuous Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Development
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Automation Support - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Error Management - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance and Reporting - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Database
Not enough data
8.6
6
Not enough data
7.8
6
Not enough data
8.3
6
Integrations
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
8.0
5
Not enough data
7.3
5
Not enough data
Not enough data
Processing
Not enough data
Not enough data
Not enough data
9.2
6
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Apache Oozie and Control-M are categorized as Workload Automation
Unique Categories
Apache Oozie has no unique categories
Control-M is categorized as Runbook Automation, Big Data Processing and Distribution, iPaaS, Build Automation, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Apache Oozie
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Control-M
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Banking
15.4%
Computer Software
15.4%
Hospital & Health Care
7.7%
Internet
7.7%
Telecommunications
7.7%
Other
46.2%
Information Technology and Services
24.2%
Banking
8.3%
Financial Services
8.3%
Telecommunications
7.5%
Retail
5.8%
Other
45.8%
Alternatives
Discussions
Which job included in Apache oozie?
1 Comment
JC
Mostly Spark jobs where source and destination tables are defined correctly in oozie propertiesRead more
Apache Oozie has no more discussions with answers
Is Control-M an ETL tool?
2 Comments
LV
Yes. Control-M is used for scheduling and monitoring the jobs in ETL.Read more
What is Control-M and DevOps used for?
1 Comment
SR
Control-M is used to automate, schedule, and monitor backend jobs and workflows, while DevOps is used to build, test, deploy, and operate software quickly...Read more
What is workflow in control-M?
1 Comment
LV
Control-M Workflow Insights provides valuable dashboards that give users in-depth observability to continuously monitor and improve performance of the...Read more
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