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Compare Anomalo and DQLabs 
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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (62.1% of reviews)
Entry-Level Pricing
Contact Us 10000 Tables Per Year
No pricing available
Anomalo
Star Rating
(41)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
Contact Us 10000 Tables Per Year
Learn more about AnomaloDQLabs
Star Rating
(41)4.6 out of 5
Market Segments
Mid-Market (62.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about DQLabsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DQLabs excels in data quality monitoring with a score of 9.4, highlighting its robust capabilities in identifying and correcting data issues, while Anomalo, with a score of 8.7, is noted for its anomaly identification but lacks the same level of depth in data quality features.
- Reviewers mention that DQLabs offers superior ease of use with a score of 9.9, making it more accessible for teams without extensive technical expertise, whereas Anomalo's score of 8.5 indicates a steeper learning curve for new users.
- G2 users highlight DQLabs' strong automation features, scoring 9.4, which streamline data processes effectively, while Anomalo's automation score of 7.8 suggests it may require more manual intervention, leading to potential inefficiencies.
- Users on G2 appreciate DQLabs' real-time analytics capabilities, which provide immediate insights into data quality, contrasting with Anomalo's lower performance in this area, where users feel it lacks timely data visibility.
- Reviewers say that DQLabs shines in its reporting functionality, scoring 9.4, which allows for comprehensive data insights, while Anomalo's reporting score of 8.7 indicates it may not provide the same level of detail or customization.
- Users report that DQLabs has a more favorable product direction with a score of 9.1, suggesting a commitment to continuous improvement and innovation, while Anomalo's score of 8.8 indicates a slightly less aggressive approach to product development.
Pricing
Entry-Level Pricing
Anomalo
Custom
Contact Us
10000 Tables Per Year
Free pilot. Secure In-VPC deployment. Contact us to get started.
- Automated data monitoring
- Simple installation
- Visualizations for reporting and explainability
DQLabs
No pricing availableFree Trial
Anomalo
Free Trial is available
DQLabs
No trial information availableRatings
Meets Requirements
8.2
36
9.4
29
Ease of Use
8.5
36
9.7
29
Ease of Setup
9.4
14
9.4
25
Ease of Admin
8.1
15
9.6
8
Quality of Support
9.0
35
9.5
29
Has the product been a good partner in doing business?
8.9
15
9.8
8
Product Direction (% positive)
8.8
29
9.1
27
Features by Category
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Functionality
8.1
7
Not enough data
7.9
7
Not enough data
6.0
5
Not enough data
6.9
6
Not enough data
7.2
6
Not enough data
7.9
7
Not enough data
Agentic AI - Database Monitoring
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
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
Functionality
Not enough data
9.2
18
9.4
6
9.4
18
7.8
6
9.4
18
8.7
5
9.4
18
Management
9.3
7
9.2
18
8.0
5
9.2
18
8.6
6
9.3
18
Not enough data
9.4
18
7.1
7
9.1
18
Generative AI
Not enough data
9.5
14
Agentic AI - Data Observability
Not enough data
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
Functionality
8.7
14
9.4
26
Feature Not Available
9.5
26
Feature Not Available
9.0
26
6.9
7
9.4
26
7.8
10
9.2
22
Management
8.7
15
9.4
26
7.8
18
9.5
26
8.5
14
9.7
20
8.6
16
9.3
22
7.4
12
9.1
22
Generative AI
Not enough data
9.4
14
Not enough data
9.6
13
Categories
Categories
Shared Categories
Anomalo and DQLabs are categorized as Data Quality and Data Observability
Unique Categories
Anomalo is categorized as Database Monitoring
DQLabs is categorized as Machine Learning Data Catalog and Master Data Management (MDM)
Reviews
Reviewers' Company Size
Anomalo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
DQLabs
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
Financial Services
22.5%
Information Technology and Services
12.5%
Computer Software
12.5%
Leisure, Travel & Tourism
7.5%
Internet
7.5%
Other
37.5%
Information Technology and Services
27.6%
Computer Software
27.6%
Information Services
13.8%
Financial Services
13.8%
Pharmaceuticals
6.9%
Other
10.3%
Discussions
Anomalo has no discussions with answers
DQLabs has no discussions with answers
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