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Compare ACCELQ and GitLab 
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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Small-Business (37.3% of reviews)
Entry-Level Pricing
Contact Us 1 User Per Year
No pricing available
ACCELQ
Star Rating
(142)4.8 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us 1 User Per Year
Free Trial is available
Browse all 6 pricing plansGitLab
Star Rating
(860)4.5 out of 5
Market Segments
Small-Business (37.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about GitLabSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that GitLab offers a solid integration experience with tools like Jira and Slack, scoring 8.9 in integrations, but reviewers mention that ACCELQ excels with a score of 9.8, highlighting its seamless connections with various CI/CD tools and cloud services.
- Reviewers mention that GitLab's automation features are robust, scoring 8.9, but users on G2 rave about ACCELQ's automation capabilities, which received a perfect score of 9.9, particularly praising its ability to automate testing processes with minimal manual intervention.
- Users say that GitLab's ease of use is commendable with a score of 8.7, but reviewers mention that ACCELQ shines in this area with a score of 9.7, noting its intuitive interface and user-friendly design that simplifies the testing workflow.
- G2 users report that GitLab's reporting features are functional, scoring 8.4, but users highlight ACCELQ's superior reporting capabilities with a score of 9.9, emphasizing its customizable dashboards and detailed analytics that provide deeper insights into testing performance.
- Reviewers mention that while GitLab provides decent support with a score of 8.5, ACCELQ stands out with a score of 9.6, with users praising its responsive customer service and extensive documentation that aids in troubleshooting and onboarding.
- Users report that GitLab's product direction is promising with a score of 8.7, but reviewers on G2 express that ACCELQ has a clear vision for the future, achieving a perfect score of 10.0, indicating strong confidence in its ongoing development and feature enhancements.
Pricing
Entry-Level Pricing
ACCELQ
Automate Manual
Contact Us
1 User Per Year
Next-generation manual testing tool with tracking, traceability, and integrations
- Scenario Designer
- Parameterization and data driven testing
- Parameterization and data driven testing
GitLab
No pricing availableFree Trial
ACCELQ
Free Trial is available
GitLab
Free Trial is available
Ratings
Meets Requirements
9.4
133
9.1
650
Ease of Use
9.7
134
8.7
652
Ease of Setup
9.6
102
8.6
213
Ease of Admin
8.8
21
8.6
170
Quality of Support
9.5
130
8.5
514
Has the product been a good partner in doing business?
9.4
21
8.8
145
Product Direction (% positive)
10.0
128
8.7
617
Features by Category
Administration
Not enough data
8.7
122
Not enough data
8.9
130
Not enough data
8.6
122
Functionality
Not enough data
9.0
128
Not enough data
8.5
114
Not enough data
8.5
109
Not enough data
8.7
114
Not enough data
8.6
103
Processes
Not enough data
9.1
131
Not enough data
9.0
120
Not enough data
8.7
120
Administration
Not enough data
9.1
27
Not enough data
9.0
26
Analysis
Not enough data
8.6
25
Not enough data
8.9
26
Not enough data
9.1
26
Not enough data
8.8
24
Testing
Not enough data
8.8
26
Not enough data
8.7
25
Not enough data
9.1
25
Not enough data
8.8
25
Not enough data
8.8
23
Not enough data
8.4
23
Not enough data
8.7
23
Agentic AI - Static Application Security Testing (SAST)
Not enough data
Not enough data
Administration
Not enough data
9.2
24
Not enough data
8.8
23
Analysis
Not enough data
8.4
23
Not enough data
9.1
23
Not enough data
8.8
23
Not enough data
8.8
23
Not enough data
8.9
23
Testing
Not enough data
8.6
22
Not enough data
9.1
22
Not enough data
8.9
21
Not enough data
9.0
20
Not enough data
8.9
19
Not enough data
9.1
20
Administration
Not enough data
8.7
76
Not enough data
8.7
77
Not enough data
8.7
74
Not enough data
8.8
79
Automation
Not enough data
8.9
78
Not enough data
8.4
71
Not enough data
9.0
78
Not enough data
8.6
72
IT Management
Not enough data
8.7
73
Not enough data
8.8
73
Not enough data
8.6
70
Functionality
9.9
59
Not enough data
9.9
59
Not enough data
9.9
59
Not enough data
Management
9.9
58
Not enough data
9.8
59
Not enough data
9.9
59
Not enough data
Functionality
Not enough data
8.8
210
Not enough data
9.0
212
Not enough data
8.7
204
Management
Not enough data
8.7
197
Not enough data
8.3
190
Not enough data
8.9
204
Agentic AI - Continuous Delivery
Not enough data
8.0
9
Not enough data
8.2
10
Not enough data
7.5
10
Not enough data
7.5
10
Not enough data
7.2
9
Bug Reporting
Not enough data
8.6
138
Not enough data
8.5
132
Not enough data
8.6
139
Bug Monitoring
Not enough data
8.4
135
Not enough data
8.8
144
Not enough data
8.8
134
Agentic AI - Bug Tracking
Not enough data
8.3
9
Not enough data
7.9
8
Not enough data
8.3
8
Functionality - Software Composition Analysis
Not enough data
8.7
64
Not enough data
8.8
69
Not enough data
8.7
66
Effectiveness - Software Composition Analysis
Not enough data
8.8
63
Not enough data
8.9
63
Not enough data
8.9
60
Functionality
9.9
64
Not enough data
9.9
64
Not enough data
9.9
64
Not enough data
Management
9.9
64
Not enough data
9.9
64
Not enough data
9.9
64
Not enough data
Management
Not enough data
8.7
140
Not enough data
8.8
145
Not enough data
8.5
133
Functionality
Not enough data
8.8
145
Not enough data
8.8
145
Not enough data
8.7
137
Processes
Not enough data
9.0
149
Not enough data
8.5
138
Not enough data
9.0
152
Functionality
9.8
71
8.9
223
|
Verified
9.8
71
8.6
208
|
Verified
9.9
72
8.4
202
|
Verified
Management
9.9
72
8.8
210
|
Verified
9.8
72
8.7
213
|
Verified
9.9
72
8.4
195
|
Verified
Agentic AI - Continuous Integration
10.0
44
7.0
10
10.0
44
7.4
12
10.0
44
7.6
11
10.0
44
7.3
10
10.0
44
7.7
10
Documentation
Not enough data
8.8
114
Not enough data
8.6
110
Not enough data
8.3
110
Security
Not enough data
8.0
99
Not enough data
8.4
98
Not enough data
8.9
107
Functionality
9.6
117
Not enough data
9.7
117
Not enough data
9.5
116
Not enough data
9.6
115
Not enough data
Automation
9.5
115
Not enough data
9.6
117
Not enough data
9.6
117
Not enough data
Agentic AI - Automation Testing
9.8
47
Not enough data
9.6
47
Not enough data
9.8
47
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Code Generation
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
Agentic AI - Software Testing
10.0
45
Not enough data
9.8
44
Not enough data
10.0
45
Not enough data
Agentic AI - Salesforce AppExchange Apps
10.0
44
Not enough data
10.0
44
Not enough data
10.0
44
Not enough data
10.0
44
Not enough data
10.0
44
Not enough data
10.0
44
Not enough data
10.0
44
Not enough data
AI Test Generation & Authoring
9.9
45
Not enough data
9.9
45
Not enough data
9.8
45
Not enough data
Test Maintenance & Resilience
9.9
45
Not enough data
9.9
45
Not enough data
9.9
45
Not enough data
Execution & Analytics
9.9
45
Not enough data
9.9
45
Not enough data
9.9
44
Not enough data
Value Analysis
Not enough data
8.9
38
Not enough data
8.7
40
Not enough data
8.6
36
Not enough data
8.8
36
Value Management
Not enough data
8.9
38
Not enough data
8.7
40
Not enough data
8.8
39
Categories
Categories
Shared Categories
ACCELQ and GitLab are categorized as Continuous Integration
Unique Categories
ACCELQ is categorized as Automation Testing, Salesforce AppExchange Apps, Test Management, Mobile App Testing, Software Testing, and AI Software Testing Tools
GitLab is categorized as Secure Code Review, DevOps Platforms, Value Stream Management, Software Composition Analysis, Cloud Infrastructure Automation, Dynamic Application Security Testing (DAST), Static Application Security Testing (SAST), Application Release Orchestration, Version Control Hosting, Peer Code Review, Continuous Delivery, Bug Tracking, and AI Code Generation
Reviews
Reviewers' Company Size
ACCELQ
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
GitLab
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
Information Technology and Services
23.2%
Retail
11.3%
Computer Software
9.9%
Financial Services
8.5%
Banking
6.3%
Other
40.8%
Computer Software
33.5%
Information Technology and Services
24.1%
Internet
3.9%
Financial Services
3.4%
Telecommunications
2.3%
Other
32.8%
Alternatives
Discussions
What is Accelq tool?
1 Comment
GA
ACCELQ offers AI-powered No-Code test automation and management built on a cloud-native platform. ACCELQ provides a unified platform for web, mobile, API,...Read more
Is Accelq open source?
1 Comment
GA
ACCELQ Is currently not Open Source but a commercial tool. You can always take a FREE Trail to check its true power. As "Seeing is Believing,"Read more
ACCELQ has no more discussions with answers
Is GitLab paid?
5 Comments
PG
Yes, Gitlab is paid as it provides the flexibility to use all the features of the GitHub and Git as well as the freedom to use your own DataBase so that you...Read more
Is GitLab free software?
4 Comments
RB
Yes, in that for non-commercial users, payment is unnecessary. Additionally, its source is publicly available.Read more
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