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Compare DQLabs and Informatica Enterprise Data Catalog 
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At a Glance
Market Segments
Mid-Market (62.1% of reviews)
Enterprise (52.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DQLabs
Star Rating
(45)4.6 out of 5
Market Segments
Mid-Market (62.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DQLabsInformatica Enterprise Data Catalog
Star Rating
(19)4.3 out of 5
Market Segments
Enterprise (52.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Informatica Enterprise Data CatalogSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that "Informatica Enterprise Data Catalog" excels in "Data Lineage" with a score of 8.3, providing comprehensive tracking of data flow, while "DQLabs" shines in "Identification" and "Correction" with scores of 9.5 and 9.4 respectively, making it a strong choice for data quality management.
- Reviewers mention that "DQLabs" offers superior "Ease of Use" with a score of 9.9, which is significantly higher than "Informatica's" score of 7.7, indicating that users find "DQLabs" more intuitive and user-friendly.
- G2 users highlight that "DQLabs" has a robust "Quality Audits" feature with a score of 9.6, which is crucial for maintaining data integrity, whereas "Informatica" has a lower score in this area, suggesting it may not be as effective in auditing data quality.
- Users on G2 report that "DQLabs" provides excellent "Real-time Alerts" and "Automation" features, both scoring 9.4, which help in proactive data management, while "Informatica" lacks in these areas, scoring lower in "Automation Features" at 7.2.
- Reviewers mention that "Informatica" has a strong "Data Governance" framework, particularly in "User Access Management" with a score of 6.7, but "DQLabs" outperforms in "Dynamic Data Masking" with a score of 7.7, indicating better security features for sensitive data.
- Users say that "DQLabs" provides a more comprehensive "Dashboard" experience with a score of 9.3, allowing for better visualization and insights, while "Informatica" falls short in this area, suggesting a less effective user interface for data monitoring.
Pricing
Entry-Level Pricing
DQLabs
No pricing availableInformatica Enterprise Data Catalog
No pricing availableFree Trial
DQLabs
No trial information availableInformatica Enterprise Data Catalog
No trial information availableRatings
Meets Requirements
9.4
29
8.7
9
Ease of Use
9.7
29
7.8
9
Ease of Setup
9.4
25
Not enough data
Ease of Admin
9.6
8
Not enough data
Quality of Support
9.5
29
8.1
9
Has the product been a good partner in doing business?
9.8
8
Not enough data
Product Direction (% positive)
9.1
27
8.7
9
Features by Category
Data Governance
Not enough data
6.7
5
Not enough data
7.7
5
Not enough data
8.3
5
Data Preparation
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
8.7
5
Not enough data
7.7
5
Not enough data
8.0
5
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
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
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
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Data management
Not enough data
8.1
6
Not enough data
7.2
6
Not enough data
8.1
6
Not enough data
8.1
6
Not enough data
8.1
6
Reporting
Not enough data
8.0
5
Not enough data
7.3
5
Not enough data
7.2
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.2
18
Not enough data
9.4
18
Not enough data
9.4
18
Not enough data
9.4
18
Not enough data
Management
9.2
18
Not enough data
9.2
18
Not enough data
9.3
18
Not enough data
9.4
18
Not enough data
9.1
18
Not enough data
Generative AI
9.5
14
Not enough data
Agentic AI - Data Observability
9.7
6
Not enough data
9.7
6
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
9.7
6
Not enough data
Functionality
9.4
26
Not enough data
9.5
26
Not enough data
9.0
26
Not enough data
9.4
26
Not enough data
9.2
22
Not enough data
Management
9.4
26
Not enough data
9.5
26
Not enough data
9.7
20
Not enough data
9.3
22
Not enough data
9.1
22
Not enough data
Generative AI
9.4
14
Not enough data
9.6
13
Not enough data
Categories
Categories
Shared Categories
DQLabs and Informatica Enterprise Data Catalog are categorized as Machine Learning Data Catalog
Reviews
Reviewers' Company Size
DQLabs
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Informatica Enterprise Data Catalog
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
27.6%
Computer Software
27.6%
Information Services
13.8%
Financial Services
13.8%
Pharmaceuticals
6.9%
Other
10.3%
Information Technology and Services
31.6%
Computer Software
26.3%
Financial Services
10.5%
Consulting
5.3%
Textiles
5.3%
Other
21.1%
Discussions
DQLabs has no discussions with answers
Informatica Enterprise Data Catalog has no discussions with answers
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