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At a Glance
Market Segments
Enterprise (60.0% of reviews)
Mid-Market (68.9% of reviews)
Entry-Level Pricing
No pricing available
Contact Us 1001 Tables Per Year
Acceldata
Star Rating
(51)4.4 out of 5
Market Segments
Enterprise (60.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about AcceldataSifflet
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Acceldata excels in data observability with a score of 9.4, highlighting its robust monitoring capabilities, while Sifflet, although strong, scores slightly lower at 8.6 in anomaly identification.
- Reviewers mention that Acceldata's analytics capabilities are rated at 8.9, with users appreciating its dashboard visualizations, whereas Sifflet's analytics capabilities, while still good, are rated at 8.7, indicating a slight edge for Acceldata in this area.
- G2 users note that Sifflet shines in data quality monitoring with a score of 8.8, which is higher than Acceldata's 8.0, suggesting that Sifflet may offer more comprehensive tools for ensuring data integrity.
- Users on G2 highlight that Acceldata's automation features are rated at 8.5, which is a strong point, while Sifflet's automation capabilities are rated at 8.2, indicating that Acceldata may provide more efficient automated workflows.
- Reviewers mention that Sifflet offers better real-time alerts with a score of 8.6 compared to Acceldata's 8.2, suggesting that Sifflet may be more effective in notifying users of critical issues as they arise.
- Users say that Acceldata's quality of support is rated at 8.9, which is slightly lower than Sifflet's impressive 9.3, indicating that Sifflet may provide a more responsive and helpful customer support experience.
Pricing
Entry-Level Pricing
Acceldata
No pricing availableSifflet
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
Acceldata
Free Trial is available
Sifflet
Free Trial is available
Ratings
Meets Requirements
8.7
49
8.8
43
Ease of Use
8.4
50
8.8
43
Ease of Setup
8.0
42
8.9
32
Ease of Admin
8.5
27
9.1
20
Quality of Support
8.9
47
9.4
37
Has the product been a good partner in doing business?
8.9
24
9.3
20
Product Direction (% positive)
8.8
50
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
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
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
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
8.2
29
8.3
36
8.2
28
9.0
41
8.1
29
8.6
40
8.4
30
8.5
41
Management
8.5
26
8.8
40
8.1
25
8.3
39
8.3
25
8.9
37
7.6
24
8.7
39
8.2
27
8.0
39
Generative AI
6.7
17
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
8.9
11
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
11
Not enough data
8.7
10
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 Sifflet are categorized as DataOps Platforms, Database Monitoring, Data Quality, and Data Observability
Unique Categories
Acceldata is categorized as Data Governance
Sifflet is categorized as Master Data Management (MDM) and Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Acceldata
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
18.0%
Computer Software
18.0%
Telecommunications
14.0%
Marketing and Advertising
10.0%
Food & Beverages
8.0%
Other
32.0%
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
Acceldata has no discussions with answers
Sifflet has no discussions with answers
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