Introducing G2.ai, the future of software buying.Try now
Compare Metaplane and Sifflet 
Featured Products
At a Glance
Market Segments
Mid-Market (65.5% of reviews)
Mid-Market (68.9% of reviews)
Entry-Level Pricing
Free 10 Monitored Tables Per Month
Contact Us 1001 Tables Per Year
Metaplane
Star Rating
(116)4.8 out of 5
Market Segments
Mid-Market (65.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 10 Monitored Tables Per Month
Browse all 3 pricing plansSifflet
Star Rating
(45)4.6 out of 5
Market Segments
Mid-Market (68.9% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us 1001 Tables Per Year
Browse all 3 pricing plansMetaplane vs Sifflet
When assessing the two solutions, reviewers found Metaplane easier to use, set up, and administer. Reviewers also preferred doing business with Metaplane overall.
- Reviewers felt that Metaplane meets the needs of their business better than Sifflet.
- When comparing quality of ongoing product support, reviewers felt that Metaplane is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Metaplane over Sifflet.
Pricing
Entry-Level Pricing
Metaplane
Free
Free
10 Monitored Tables Per Month
Getting started for individuals and new data teams.
- 10 monitored tables
- 4 users
- Column-level lineage across entire data stack
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
Metaplane
Free Trial is available
Sifflet
Free Trial is available
Ratings
Meets Requirements
9.2
104
8.8
43
Ease of Use
9.3
107
8.8
43
Ease of Setup
9.5
73
8.9
32
Ease of Admin
9.3
56
9.1
20
Quality of Support
9.9
102
9.4
37
Has the product been a good partner in doing business?
9.9
56
9.3
20
Product Direction (% positive)
10.0
102
8.9
43
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
Functionality
9.6
83
Not enough data
9.5
83
Not enough data
8.3
75
Not enough data
9.4
80
Not enough data
8.7
73
Not enough data
8.7
74
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
8.4
77
8.3
36
9.6
88
9.0
41
9.1
81
8.6
40
9.2
85
8.5
41
Management
9.2
88
8.8
40
8.9
78
8.3
39
9.4
85
8.9
37
9.1
83
8.7
39
9.0
86
8.0
39
Generative AI
7.2
36
7.6
26
Agentic AI - Data Observability
Not enough data
9.6
9
Not enough data
10.0
9
Not enough data
9.8
9
Not enough data
9.6
9
Not enough data
9.6
9
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
Metaplane and Sifflet are categorized as Database Monitoring and Data Observability
Unique Categories
Metaplane has no unique categories
Sifflet is categorized as Data Quality, Master Data Management (MDM), Machine Learning Data Catalog, and DataOps Platforms
Reviews
Reviewers' Company Size
Metaplane
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
Computer Software
26.7%
Information Technology and Services
19.8%
Food & Beverages
6.9%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
34.5%
Information Technology and Services
22.2%
Computer Software
13.3%
Retail
8.9%
Financial Services
6.7%
Restaurants
4.4%
Other
44.4%
Alternatives
Discussions
Metaplane has no discussions with answers
Sifflet has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
