Compare IBM Databand and Sifflet 
At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Mid-Market (63.2% of reviews)
Entry-Level Pricing
Contact Us 1 GB / Month of Metadata Logged Per Year
Contact Us 1001 Tables Per Year
IBM 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 plansSifflet
Star Rating
(46)4.4 out of 5
Market Segments
Mid-Market (63.2% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us 1001 Tables Per Year
Free Trial is available
Browse all 3 pricing plansIBM Databand vs Sifflet
When assessing the two solutions, reviewers found IBM Databand easier to use. However, reviewers felt that Sifflet was easier to administer and do business with overall. Finally, reviewers felt that the products are equally easy to set up.
- Reviewers felt that IBM Databand meets the needs of their business better than Sifflet.
- When comparing quality of ongoing product support, IBM Databand and Sifflet provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Databand over Sifflet.
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
Sifflet
Enterprise
Contact Us
1001 Tables Per Year
Great for large, regulated or complex organizations
- Core Data Observability & Catalog (Fundamental metrics: freshness, schema, volume, custom metrics...)
- Business-Aware Lineage & Impact Analysis
- Automated Root-Cause Analysis
Free Trial
IBM Databand
Free Trial is available
Sifflet
Free Trial is available
Ratings
Meets Requirements
8.6
59
8.4
36
Ease of Use
8.6
61
8.5
37
Ease of Setup
8.3
31
8.3
25
Ease of Admin
8.0
23
8.5
13
Quality of Support
8.9
57
8.9
29
Has the product been a good partner in doing business?
8.3
23
8.5
13
Product Direction (% positive)
9.4
57
8.3
35
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
Data Source Access
8.6
26
Not enough data
8.6
28
Not enough data
8.7
27
Not enough data
Data Interaction
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
Not enough data
Data Exporting
8.4
26
Not enough data
8.1
27
Not enough data
8.8
28
Not enough data
Generative AI
8.5
8
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
Not enough data
Not enough data
Not enough data
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
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
Not enough data
Not enough data
Not enough data
Functionality
8.6
46
8.0
27
8.6
45
8.9
33
8.2
45
8.3
30
8.9
46
8.1
32
Management
8.3
45
8.5
32
8.3
42
8.0
29
8.5
44
8.6
28
8.7
42
8.3
30
8.6
44
7.6
29
Generative AI
7.3
11
6.6
17
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
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
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Databand and Sifflet are categorized as Data Observability
Unique Categories
IBM Databand is categorized as Data Preparation
Sifflet is categorized as Data Quality, Database Monitoring, Master Data Management (MDM), Machine Learning Data Catalog, and DataOps Platforms
Reviews
Reviewers' Company Size
IBM Databand
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sifflet
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
23.1%
Computer Software
20.0%
Retail
9.2%
Computer & Network Security
6.2%
Financial Services
6.2%
Other
35.4%
Computer Software
12.8%
Retail
10.3%
Information Technology and Services
10.3%
Pharmaceuticals
7.7%
Consumer Services
7.7%
Other
51.3%
Alternatives
Discussions
IBM Databand has no discussions with answers
Sifflet has no discussions with answers
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