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Compare Acceldata and Datafold 
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At a Glance
Market Segments
Enterprise (59.2% of reviews)
Mid-Market (54.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Acceldata
Star Rating
(50)4.4 out of 5
Market Segments
Enterprise (59.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about AcceldataDatafold
Star Rating
(24)4.5 out of 5
Market Segments
Mid-Market (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DatafoldSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Acceldata excels in data integration with a score of 8.6, while Datafold shines even brighter with a score of 9.2, indicating that Datafold offers more robust capabilities for integrating various data sources seamlessly.
- Reviewers mention that Acceldata's data observability feature is highly rated at 9.4, which suggests it provides excellent visibility into data pipelines, whereas Datafold's score of 8.2 indicates it may not offer the same level of insight.
- G2 users highlight that Datafold's self-service capabilities are impressive, scoring 9.3, which allows users to manage their data without heavy reliance on IT, while Acceldata's score of 8.6 shows it is still effective but not as user-friendly in this aspect.
- Users on G2 report that Acceldata's quality audits feature is rated highly at 8.9, suggesting a strong focus on maintaining data integrity, while Datafold's reporting capabilities lag behind with a score of 6.9, indicating potential limitations in generating comprehensive reports.
- Reviewers say that Acceldata's automation features score 8.5, which enhances operational efficiency, but Datafold's automation score of 8.3 shows it is also effective, albeit slightly less so in automating workflows.
- Users say that while both products have strong monitoring capabilities, Acceldata's alerting feature scores 8.1, which is slightly lower than Datafold's performance in real-time alerts at 8.1, suggesting that both products are competitive but may have different strengths in alerting functionalities.
Pricing
Entry-Level Pricing
Acceldata
No pricing availableDatafold
No pricing availableFree Trial
Acceldata
Free Trial is available
Datafold
No trial information availableRatings
Meets Requirements
8.7
48
8.5
20
Ease of Use
8.4
49
8.8
20
Ease of Setup
8.0
41
7.9
8
Ease of Admin
8.5
27
7.9
8
Quality of Support
8.9
46
9.1
20
Has the product been a good partner in doing business?
8.9
24
8.3
8
Product Direction (% positive)
8.8
49
8.8
20
Features by Category
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
9.2
12
8.1
12
8.3
10
8.8
12
Feature Not Available
7.5
12
Feature Not Available
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
Feature Not Available
8.8
11
8.0
10
Monitoring and Management
9.5
10
8.2
11
7.6
9
9.3
10
Cloud Deployment
8.3
8
9.2
8
7.3
8
9.0
8
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
8.2
29
8.6
12
8.2
28
8.2
12
8.2
28
8.3
12
8.3
29
8.5
12
Management
8.5
26
8.1
12
8.1
25
8.5
11
8.3
25
8.1
12
7.6
24
8.0
11
8.1
26
8.3
11
Generative AI
6.7
17
Not enough data
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
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 Datafold are categorized as DataOps Platforms and Data Observability
Unique Categories
Datafold has no unique categories
Reviews
Reviewers' Company Size
Acceldata
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Datafold
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
18.4%
Information Technology and Services
16.3%
Telecommunications
14.3%
Marketing and Advertising
10.2%
Food & Beverages
8.2%
Other
32.7%
Information Technology and Services
29.2%
Computer Software
12.5%
Accounting
8.3%
Wholesale
4.2%
Telecommunications
4.2%
Other
41.7%
Alternatives
Discussions
Acceldata has no discussions with answers
Datafold has no discussions with answers
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