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Compare Ataccama One and DQLabs 
At a Glance
Market Segments
Enterprise (40.0% of reviews)
Mid-Market (62.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Ataccama One
Star Rating
(11)4.2 out of 5
Market Segments
Enterprise (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Ataccama OneDQLabs
Star Rating
(46)4.6 out of 5
Market Segments
Mid-Market (62.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DQLabsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that DQLabs excels in user experience, with a particularly high rating for ease of use. Users appreciate its intuitive interface and the ability to automate data quality checks, making it accessible for both technical and business users.
- According to verified reviews, Ataccama One is praised for its customizable interface and strong customer support. Users highlight its unified platform for automated data quality and MDM management, which allows for seamless integration of metadata management into their projects.
- Users say that DQLabs stands out for its real-time observability and continuous monitoring features. The platform's Agentic AI functionality is noted for being user-friendly, which enhances the overall data management experience.
- Reviewers mention that while Ataccama One has a solid user interface, it may not always meet specific workflow needs as effectively as DQLabs. Some users have reported challenges with configuration, which can impact the overall implementation experience.
- G2 reviewers highlight DQLabs' comprehensive data quality coverage through its out-of-the-box automated AI-generated rules. This feature, along with customizable no-code data quality checks, provides users with flexible options to ensure data integrity.
- According to recent user feedback, Ataccama One is recognized for its ability to deliver actionable insights from various data sources, but it currently has fewer recent reviews compared to DQLabs, which may indicate a less active user base or slower adoption in the market.
Pricing
Entry-Level Pricing
Ataccama One
No pricing availableDQLabs
No pricing availableFree Trial
Ataccama One
Free Trial is available
DQLabs
No trial information availableRatings
Meets Requirements
8.7
9
9.4
29
Ease of Use
8.5
8
9.7
29
Ease of Setup
Not enough data
9.4
25
Ease of Admin
Not enough data
9.6
8
Quality of Support
8.8
8
9.5
29
Has the product been a good partner in doing business?
Not enough data
9.8
8
Product Direction (% positive)
8.7
9
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
Administration
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
Not enough data
Not enough data
Compliance
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
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
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 - Data Governance
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
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
Not enough data
Not enough data
Reporting
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
Functionality
Not enough data
9.2
18
Not enough data
9.4
18
Not enough data
9.4
18
Not enough data
9.4
18
Management
Not enough data
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
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
Not enough data
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
Management
Not enough data
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
Generative AI
Not enough data
9.4
14
Not enough data
9.6
13
Categories
Categories
Shared Categories
Ataccama One and DQLabs are categorized as Machine Learning Data Catalog, Master Data Management (MDM), and Data Quality
Unique Categories
Ataccama One is categorized as Data Governance, Big Data Integration Platforms, and Active Metadata Management
DQLabs is categorized as Data Observability
Reviews
Reviewers' Company Size
Ataccama One
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
Information Technology and Services
20.0%
Airlines/Aviation
20.0%
Plastics
10.0%
Music
10.0%
Mining & Metals
10.0%
Other
30.0%
Information Technology and Services
27.6%
Computer Software
27.6%
Information Services
13.8%
Financial Services
13.8%
Pharmaceuticals
6.9%
Other
10.3%
Alternatives
Discussions
Ataccama One has no discussions with answers
DQLabs has no discussions with answers
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