Introducing G2.ai, the future of software buying.Try now
Compare CData Virtuality and Dremio 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Starburst
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Kpow for Apache Kafka®
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Alteryx
Visit Website
At a Glance
Market Segments
Mid-Market (65.0% of reviews)
Enterprise (47.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
CData Virtuality
Star Rating
(20)4.7 out of 5
Market Segments
Mid-Market (65.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about CData VirtualityDremio
Star Rating
(69)4.6 out of 5
Market Segments
Enterprise (47.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DremioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Data Virtuality excels in Database Management with a perfect score of 10.0, indicating robust capabilities in managing various databases effectively. In contrast, Dremio does not provide a specific score for this feature, which may suggest a less comprehensive approach to database management.
- Reviewers mention that Data Virtuality has superior Quality of Support with a score of 9.8, highlighting its responsive customer service and helpful resources. Dremio, while still strong, has a lower score of 8.6, which may indicate room for improvement in support services.
- G2 users note that Data Virtuality shines in Data Security with a score of 9.7, emphasizing its strong security measures and compliance features. Dremio, while also secure, has not been rated as highly in this area, which could be a concern for users prioritizing data protection.
- Users on G2 report that Data Virtuality's Ease of Setup is rated at 9.2, making it user-friendly for new implementations. Dremio, with a score of 8.5, may present a slightly steeper learning curve for new users.
- Reviewers mention that Dremio excels in Data Lake Integration with a score of 9.1, making it a strong choice for organizations looking to leverage data lakes effectively. Data Virtuality does not have a specific score for this feature, which may indicate less focus on this integration.
- Users say that Data Virtuality's Data Querying capabilities are rated at 9.2, showcasing its efficiency in handling complex queries. Dremio, while competitive, does not provide a specific score for this feature, which could impact users who rely heavily on advanced querying capabilities.
Pricing
Entry-Level Pricing
CData Virtuality
No pricing availableDremio
No pricing availableFree Trial
CData Virtuality
No trial information availableDremio
Free Trial is available
Ratings
Meets Requirements
9.6
18
8.7
52
Ease of Use
9.0
18
9.2
53
Ease of Setup
9.2
13
8.4
47
Ease of Admin
9.2
13
7.8
29
Quality of Support
9.8
18
8.5
50
Has the product been a good partner in doing business?
9.5
13
9.1
28
Product Direction (% positive)
10.0
18
9.7
46
Features by Category
Reports
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
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Administration
10.0
5
Not enough data
9.0
5
Not enough data
9.7
5
Not enough data
Federation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Transformation
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
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
Data Sourcing
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Intelligence
Feature Not Available
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
Solution Provision
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
8.6
23
Not enough data
8.5
20
Not enough data
8.3
12
Not enough data
7.7
20
Not enough data
Feature Not Available
Not enough data
8.9
23
Integration
Feature Not Available
Feature Not Available
Not enough data
8.8
21
Not enough data
9.0
22
Deployment
Not enough data
8.7
15
Not enough data
8.5
19
Performance
Not enough data
8.3
21
Security
Not enough data
8.2
20
Not enough data
Feature Not Available
Generative AI
Not enough data
6.9
12
Not enough data
Not enough data
Data Management
Not enough data
8.6
11
Not enough data
8.8
11
Not enough data
Feature Not Available
Data as a Service
Not enough data
7.6
11
Not enough data
8.2
11
Architecture
Not enough data
8.2
11
Not enough data
8.6
11
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
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
Reporting
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
Database
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Integrations
Not enough data
9.0
18
Not enough data
7.9
13
Platform
Not enough data
9.1
20
Not enough data
8.7
13
Not enough data
7.9
13
Processing
Not enough data
9.1
18
Not enough data
8.6
13
Data Transformation
Not enough data
Feature Not Available
Not enough data
9.2
24
Connectivity
Not enough data
8.6
22
Not enough data
Feature Not Available
Not enough data
8.9
23
Not enough data
8.9
25
Operations
Not enough data
7.2
25
Not enough data
7.1
25
Not enough data
7.8
27
Not enough data
7.7
21
Not enough data
7.0
21
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Categories
Categories
Shared Categories
CData Virtuality and Dremio are categorized as Data Warehouse
Unique Categories
CData Virtuality is categorized as Data Replication, Data Virtualization, Big Data Integration Platforms, ETL Tools, On-Premise Data Integration, and Customer Data Platform (CDP)
Dremio is categorized as Big Data Processing and Distribution, Big Data Analytics, Data as a Service (DaaS), and Semantic Layer Tools
Reviews
Reviewers' Company Size
CData Virtuality
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dremio
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
Retail
10.0%
Marketing and Advertising
10.0%
Management Consulting
10.0%
Computer Software
10.0%
Staffing and Recruiting
5.0%
Other
55.0%
Financial Services
23.8%
Information Technology and Services
11.1%
Computer Software
7.9%
Marketing and Advertising
4.8%
Automotive
4.8%
Other
47.6%
Alternatives
Discussions
CData Virtuality has no discussions with answers
What is a Dremio reflection?
1 Comment
Official Response from Dremio
A reflection is an optimized materialization of source data or a query, similar to a materialized view, that is derived from an existing table or view. A...Read more
Dremio has no more 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.
