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Compare Acceldata and IBM Databand 
Featured Products
At a Glance
Market Segments
Enterprise (61.5% of reviews)
Mid-Market (40.0% of reviews)
Entry-Level Pricing
No pricing available
Contact Us 1 GB / Month of Metadata Logged Per Year
Acceldata
Star Rating
(53)4.4 out of 5
Market Segments
Enterprise (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about AcceldataIBM 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 plansAcceldata vs IBM Databand
When assessing the two solutions, reviewers found IBM Databand easier to use and set up. However, Acceldata is easier to administer. Reviewers also preferred doing business with Acceldata overall.
- Reviewers felt that Acceldata meets the needs of their business better than IBM Databand.
- When comparing quality of ongoing product support, Acceldata and IBM Databand provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Databand over Acceldata.
Pricing
Entry-Level Pricing
Acceldata
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
Acceldata
Free Trial is available
IBM Databand
Free Trial is available
Ratings
Meets Requirements
8.7
51
8.6
59
Ease of Use
8.5
52
8.6
61
Ease of Setup
8.1
44
8.3
31
Ease of Admin
8.6
29
8.0
23
Quality of Support
8.9
49
8.9
57
Has the product been a good partner in doing business?
9.0
26
8.3
23
Product Direction (% positive)
8.9
52
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
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
Functionality
8.3
14
Not enough data
8.2
14
Not enough data
8.2
13
Not enough data
8.5
13
Not enough data
7.9
13
Not enough data
8.3
13
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
Data Management
8.6
12
Not enough data
8.1
12
Not enough data
8.8
12
Not enough data
7.5
12
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
8.7
10
Not enough data
8.8
11
Not enough data
Monitoring and Management
9.5
10
Not enough data
7.6
9
Not enough data
Cloud Deployment
8.3
8
Not enough data
7.3
8
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
8.3
31
8.6
46
8.2
30
8.6
45
8.1
29
8.2
45
8.4
30
8.9
46
Management
8.5
27
8.3
45
8.1
25
8.3
42
8.3
26
8.5
44
7.6
24
8.7
42
8.3
28
8.6
44
Generative AI
6.7
17
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
Functionality
9.0
12
Not enough data
7.5
10
Not enough data
7.8
10
Not enough data
7.3
11
Not enough data
8.7
9
Not enough data
Management
6.7
12
Not enough data
8.8
11
Not enough data
9.0
10
Not enough data
7.4
11
Not enough data
8.3
10
Not enough data
Generative AI
7.5
8
Not enough data
6.9
8
Not enough data
Categories
Categories
Shared Categories
Acceldata and IBM Databand are categorized as Data Observability
Unique Categories
Acceldata is categorized as DataOps Platforms, Database Monitoring, Data Quality, and Data Governance
IBM Databand is categorized as Data Preparation
Reviews
Reviewers' Company Size
Acceldata
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
Computer Software
19.2%
Information Technology and Services
17.3%
Telecommunications
13.5%
Marketing and Advertising
9.6%
Food & Beverages
7.7%
Other
32.7%
Information Technology and Services
23.1%
Computer Software
20.0%
Retail
9.2%
Financial Services
6.2%
Computer & Network Security
6.2%
Other
35.4%
Alternatives
Discussions
Acceldata has no discussions with answers
IBM Databand has no discussions with answers
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