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Compare IBM Databand and decube 
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At a Glance
Market Segments
Mid-Market (39.4% of reviews)
Mid-Market (36.0% of reviews)
Entry-Level Pricing
Contact Us 1 GB / Month of Metadata Logged Per Year
Free Per Year
IBM Databand
Star Rating
(67)4.4 out of 5
Market Segments
Mid-Market (39.4% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us 1 GB / Month of Metadata Logged Per Year
Browse all 2 pricing plansdecube
Star Rating
(25)4.6 out of 5
Market Segments
Mid-Market (36.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Year
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Databand excels in Data Governance, particularly with features like User Access Management (9.4) and Dynamic Data Masking (9.8), which provide robust security measures. In contrast, decube also offers strong governance features but falls slightly behind in Data Lineage (9.6) compared to IBM's offerings.
- Reviewers mention that decube shines in Ease of Use with a score of 9.4, making it more accessible for small businesses. Users on G2 highlight its intuitive interface and straightforward setup process, while IBM Databand, with a score of 8.6, is noted for being slightly more complex to navigate.
- G2 users indicate that decube's Data Quality Monitoring (9.6) is superior, with features that allow for real-time alerts and anomaly identification (9.0). In comparison, IBM Databand's score of 8.6 in this area suggests it may not be as responsive to data quality issues.
- Users say that IBM Databand offers excellent Data Integration capabilities, particularly in API Connectivity (8.8), which is crucial for businesses needing to connect various data sources. However, decube's overall integration experience is rated slightly higher (8.9), indicating a more seamless process for users.
- Reviewers mention that both products provide strong Analytics Capabilities, but decube's dashboard visualizations (9.2) are often praised for their clarity and ease of interpretation, while IBM Databand's analytics features, although solid, do not receive the same level of acclaim.
- Users report that IBM Databand's Compliance Management features, particularly in Sensitive Data Compliance (9.4), are highly regarded, making it a strong choice for organizations with stringent regulatory requirements. Decube, while effective, does not match this level of compliance assurance.
Pricing
Entry-Level Pricing
IBM Databand
Growth
Contact Us
1 GB / Month of Metadata Logged Per Year
- Monitored Pipelines | < 100
- Metadata Logged | Up to 500MB / month
- Alerting | Email. Slack. Pagerduty. Opsgenie
decube
Community Edition
Free
Per Year
A free-forever tier of our platform for small teams with unlimited data cataloging and data quality monitoring for up to 25 tables.
- Unlimited data cataloging
- 25 tables monitored with unlimited tests per table.
- Includes Business Glossary
Free Trial
IBM Databand
Free Trial is available
decube
Free Trial is available
Ratings
Meets Requirements
8.6
60
9.4
23
Ease of Use
8.6
62
9.4
24
Ease of Setup
8.3
31
9.4
11
Ease of Admin
8.0
23
8.8
7
Quality of Support
8.9
58
9.4
23
Has the product been a good partner in doing business?
8.3
23
9.2
6
Product Direction (% positive)
9.4
58
9.5
24
Features by Category
Data Governance
Not enough data
9.5
10
Not enough data
9.8
10
Not enough data
9.7
10
Data Preparation
Not enough data
9.8
10
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Collaboration
Not enough data
9.2
11
Not enough data
9.5
11
Not enough data
9.7
11
Not enough data
9.7
11
Artificial Intelligence
Not enough data
9.7
11
Not enough data
8.8
10
Not enough data
Feature Not Available
Generative AI
Not enough data
Not enough data
Not enough data
Feature Not Available
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
Data Source Access
8.6
27
Not enough data
8.6
29
Not enough data
8.8
28
Not enough data
Data Interaction
8.3
27
Not enough data
8.5
29
Not enough data
8.4
29
Not enough data
8.8
28
Not enough data
8.7
28
Not enough data
9.0
29
Not enough data
8.6
28
Not enough data
8.6
29
Not enough data
Data Exporting
8.5
27
Not enough data
8.2
28
Not enough data
8.8
29
Not enough data
Generative AI
8.5
8
Not enough data
Administration
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
9.0
7
Not enough data
9.3
7
Management
Not enough data
9.3
9
Not enough data
9.6
9
Not enough data
9.6
9
Not enough data
9.7
6
Not enough data
9.6
8
Compliance
Not enough data
9.2
8
Not enough data
9.3
7
Not enough data
9.3
7
Not enough data
9.4
6
Security
Not enough data
9.4
9
Not enough data
9.6
8
Not enough data
9.6
9
Data Quality
Not enough data
Feature Not Available
Not enough data
9.2
6
Not enough data
9.6
8
Maintainence
Not enough data
9.4
9
Not enough data
9.0
8
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
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
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
8.6
46
9.0
17
8.6
45
9.6
19
8.2
45
8.8
17
8.9
46
9.3
19
Management
8.3
45
9.1
19
8.3
42
9.1
18
8.5
44
9.0
17
8.7
42
9.2
19
8.6
44
8.8
19
Generative AI
7.3
11
Feature Not Available
Agentic AI - Data Observability
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
IBM Databand and decube are categorized as Data Observability
Unique Categories
IBM Databand is categorized as Data Preparation
decube is categorized as Machine Learning Data Catalog, DataOps Platforms, Data Governance, and Active Metadata Management
Reviews
Reviewers' Company Size
IBM Databand
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
decube
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
22.7%
Computer Software
19.7%
Retail
9.1%
Computer & Network Security
7.6%
Financial Services
6.1%
Other
34.8%
Information Technology and Services
24.0%
Financial Services
16.0%
Automotive
12.0%
Telecommunications
8.0%
Computer Software
8.0%
Other
32.0%
Alternatives
Discussions
IBM Databand has no discussions with answers
decube has no discussions with answers
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