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Compare Sifflet and Soda 
Featured Products
At a Glance
Market Segments
Mid-Market (68.9% of reviews)
Mid-Market (43.6% of reviews)
Entry-Level Pricing
Contact Us 1001 Tables Per Year
$0.00 3 Production Datasets Per Month
Sifflet
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 plansSoda
Star Rating
(55)4.4 out of 5
Market Segments
Mid-Market (43.6% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00 3 Production Datasets Per Month
Browse all 3 pricing plansSifflet vs Soda
When assessing the two solutions, reviewers found Sifflet easier to use, set up, and administer. Reviewers also preferred doing business with Sifflet overall.
- Reviewers felt that Sifflet meets the needs of their business better than Soda.
- When comparing quality of ongoing product support, reviewers felt that Sifflet is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Soda over Sifflet.
Pricing
Entry-Level Pricing
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
Soda
Free
$0.00
3 Production Datasets Per Month
Great for small projects
- Pipeline testing
- Metrics observability
- Alerting & ticketing integrations
Free Trial
Sifflet
Free Trial is available
Soda
Free Trial is available
Ratings
Meets Requirements
8.8
43
8.7
49
Ease of Use
8.8
43
8.5
50
Ease of Setup
8.9
32
8.4
29
Ease of Admin
9.1
20
8.6
22
Quality of Support
9.4
37
8.7
49
Has the product been a good partner in doing business?
9.3
20
8.9
22
Product Direction (% positive)
8.9
43
9.0
49
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
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
8.3
36
8.0
22
9.0
41
9.2
24
8.6
40
8.1
24
8.5
41
8.8
24
Management
8.8
40
8.6
24
8.3
39
8.3
20
8.9
37
8.6
23
8.7
39
7.5
21
8.0
39
8.5
24
Generative AI
7.6
26
6.1
14
Agentic AI - Data Observability
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
Not enough data
Functionality
Not enough data
8.7
42
Not enough data
Feature Not Available
Not enough data
8.0
41
Not enough data
Feature Not Available
Not enough data
7.9
43
Management
Not enough data
7.7
33
Not enough data
Feature Not Available
Not enough data
8.5
42
Not enough data
7.7
42
Not enough data
8.2
38
Generative AI
Not enough data
5.9
25
Not enough data
6.3
25
Categories
Categories
Shared Categories
Sifflet and Soda are categorized as Data Observability and Data Quality
Unique Categories
Sifflet is categorized as Database Monitoring, Master Data Management (MDM), Machine Learning Data Catalog, and DataOps Platforms
Soda has no unique categories
Reviews
Reviewers' Company Size
Sifflet
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Soda
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
22.2%
Computer Software
13.3%
Retail
8.9%
Financial Services
6.7%
Restaurants
4.4%
Other
44.4%
Information Technology and Services
21.8%
Computer Software
18.2%
Consulting
16.4%
Financial Services
9.1%
Retail
3.6%
Other
30.9%
Alternatives
Discussions
Sifflet has no discussions with answers
Soda has no discussions with answers
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