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Compare MongoDB and OpenText Application Quality Management 
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At a Glance
Market Segments
Small-Business (37.8% of reviews)
Enterprise (66.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
MongoDB
Star Rating
(539)4.5 out of 5
Market Segments
Small-Business (37.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MongoDBOpenText Application Quality Management
Star Rating
(133)4.0 out of 5
Market Segments
Enterprise (66.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about OpenText Application Quality ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that OpenText ALM Quality Center excels in its Test Diversity with a score of 9.3, allowing teams to manage various testing types effectively, while MongoDB, although strong in data management, does not focus specifically on testing functionalities.
- Reviewers mention that OpenText ALM Quality Center's Bug Reporting features, particularly the Tester Reports & Feedback scoring 9.1, provide comprehensive insights into issues, whereas MongoDB's bug monitoring capabilities are more generalized and less tailored for testing environments.
- G2 users highlight that MongoDB shines in Scalability with a score of 9.0, making it ideal for applications that require handling large volumes of data, while OpenText ALM Quality Center, with a lower scalability score, may not be as effective for rapidly growing data needs.
- Users on G2 report that OpenText ALM Quality Center's Reporting capabilities score an impressive 8.9, providing detailed insights for project management, while MongoDB's reporting features, although functional, do not offer the same level of depth for quality assurance processes.
- Reviewers mention that MongoDB's Data Replication feature, scoring 8.7, is robust and ensures high availability, which is crucial for applications requiring constant uptime, whereas OpenText ALM Quality Center does not emphasize data replication in the same way.
- Users say that OpenText ALM Quality Center's Quality of Support is rated at 7.7, which some find lacking compared to MongoDB's higher score of 8.5, indicating a more responsive and helpful support system for users facing issues.
Pricing
Entry-Level Pricing
MongoDB
No pricing availableOpenText Application Quality Management
No pricing availableFree Trial
MongoDB
No trial information availableOpenText Application Quality Management
No trial information availableRatings
Meets Requirements
8.8
418
8.2
118
Ease of Use
8.6
419
7.9
118
Ease of Setup
8.4
192
7.2
61
Ease of Admin
8.1
177
7.2
59
Quality of Support
8.5
363
7.7
106
Has the product been a good partner in doing business?
8.5
157
7.7
56
Product Direction (% positive)
9.1
400
6.8
116
Features by Category
Functionality
Not enough data
9.2
10
Not enough data
8.2
10
Not enough data
9.2
10
Management
Not enough data
8.8
10
Not enough data
8.8
10
Not enough data
8.8
10
Bug Reporting
Not enough data
8.3
11
Not enough data
9.2
12
Not enough data
8.5
12
Bug Monitoring
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
8.6
11
Agentic AI - Bug Tracking
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
8.8
90
Not enough data
8.8
91
Not enough data
8.5
84
Not enough data
8.5
82
Not enough data
Availability
8.2
77
Not enough data
8.3
81
Not enough data
8.6
81
Not enough data
Performance
8.6
85
Not enough data
Security
8.4
83
Not enough data
8.7
87
Not enough data
8.5
82
Not enough data
8.6
80
Not enough data
Support
8.6
80
Not enough data
8.9
83
Not enough data
7.9
68
Not enough data
Functionality
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
7.7
5
Not enough data
9.0
5
Automation
Not enough data
9.7
5
Not enough data
8.7
5
Not enough data
9.0
5
Agentic AI - Automation Testing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Core Lifecycle Management - ALM Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Organization - ALM Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Software Testing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Communication
Not enough data
Not enough data
Not enough data
Not enough data
Procedural
Not enough data
Not enough data
Database Features
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
MongoDB and OpenText Application Quality Management are categorized as AWS Marketplace
Unique Categories
MongoDB is categorized as Document Databases
OpenText Application Quality Management is categorized as Test Management, Requirements Management, ALM Software, Bug Tracking, Software Testing, and Automation Testing
Reviews
Reviewers' Company Size
MongoDB
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
OpenText Application Quality Management
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
Computer Software
22.8%
Information Technology and Services
20.6%
Internet
5.1%
Financial Services
4.0%
Education Management
3.0%
Other
44.6%
Information Technology and Services
36.8%
Computer Software
13.6%
Banking
6.4%
Hospital & Health Care
4.0%
Financial Services
4.0%
Other
35.2%
Alternatives
Discussions
How to make MongoDB to accept joins
2 Comments
AZ
As MongoDB is a document oriented Database. So data is distributed across different nodes and in order to apply joins, a data should be collected on a...Read more
What is MongoDB used for?
2 Comments
VK
MongoDB is a NoSQL database, that works on concepts of documents, and collections rather than tables and relations. Read more
How compatible is this software in integrating it with non micro focus applications?
2 Comments
PK
This app originally named as Test director was developed by Mercury over 15 years ago. Then the it was renamed to Quality center and new owner became...Read more
OpenText Application Quality Management has no more discussions with answers
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