Compare Datafold and IBM Databand 
At a Glance
Market Segments
Mid-Market (54.2% of reviews)
Mid-Market (40.0% of reviews)
Entry-Level Pricing
No pricing available
Contact Us 1 GB / Month of Metadata Logged Per Year
Datafold
Star Rating
(24)4.5 out of 5
Market Segments
Mid-Market (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DatafoldIBM Databand
Star Rating
(66)4.3 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us 1 GB / Month of Metadata Logged Per Year
Browse all 2 pricing plansDatafold vs IBM Databand
When assessing the two solutions, reviewers found Datafold easier to use. However, reviewers preferred the ease of set up for IBM Databand along with administration. Reviewers agreed that both vendors make it equally easy to do business overall.
- Reviewers felt that IBM Databand meets the needs of their business better than Datafold.
- When comparing quality of ongoing product support, reviewers felt that Datafold is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Databand over Datafold.
Pricing
Entry-Level Pricing
Datafold
No pricing availableIBM 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
Free Trial
Datafold
No trial information availableIBM Databand
Free Trial is available
Ratings
Meets Requirements
8.5
20
8.6
59
Ease of Use
8.8
20
8.6
61
Ease of Setup
7.9
8
8.3
31
Ease of Admin
7.9
8
8.0
23
Quality of Support
9.1
20
8.9
57
Has the product been a good partner in doing business?
8.3
8
8.3
23
Product Direction (% positive)
8.8
20
9.4
57
Features by Category
Data Source Access
Not enough data
8.6
26
Not enough data
8.6
28
Not enough data
8.7
27
Data Interaction
Not enough data
8.3
26
Not enough data
8.5
28
Not enough data
8.3
28
Not enough data
8.8
27
Not enough data
8.6
27
Not enough data
8.9
28
Not enough data
8.6
27
Not enough data
8.5
28
Data Exporting
Not enough data
8.4
26
Not enough data
8.1
27
Not enough data
8.8
28
Generative AI
Not enough data
8.5
8
Data Management
9.2
12
Not enough data
8.3
10
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Feature Not Available
Not enough data
8.0
10
Not enough data
Monitoring and Management
8.2
11
Not enough data
9.3
10
Not enough data
Cloud Deployment
9.2
8
Not enough data
9.0
8
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
8.6
12
8.6
46
8.2
12
8.6
45
8.3
12
8.2
45
8.5
12
8.9
46
Management
8.1
12
8.3
45
8.5
11
8.3
42
8.1
12
8.5
44
8.0
11
8.7
42
8.3
11
8.6
44
Generative AI
Not enough data
7.3
11
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
Datafold and IBM Databand are categorized as Data Observability
Unique Categories
Datafold is categorized as DataOps Platforms
IBM Databand is categorized as Data Preparation
Reviews
Reviewers' Company Size
Datafold
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Databand
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
29.2%
Computer Software
12.5%
Accounting
8.3%
Wholesale
4.2%
Telecommunications
4.2%
Other
41.7%
Information Technology and Services
23.1%
Computer Software
20.0%
Retail
9.2%
Computer & Network Security
6.2%
Financial Services
6.2%
Other
35.4%
Discussions
Datafold has no discussions with answers
IBM Databand has no discussions with answers
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