Compare CData Virtuality and Snowflake 
Featured Products
At a Glance
Market Segments
Mid-Market (65.0% of reviews)
Enterprise (44.4% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
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 VirtualitySnowflake
Star Rating
(695)4.6 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Snowflake excels in overall user satisfaction, boasting a significantly higher G2 Score compared to CData Virtuality. Users appreciate its ability to make advanced data warehousing simple and scalable, highlighting features like easy SQL query implementation and a user-friendly layout.
- Users say that CData Virtuality shines in its integration capabilities, allowing seamless access to a wide range of data sources through SQL. Reviewers commend its powerful job scheduler and procedural SQL writing features, making it a versatile tool for data management.
- According to verified reviews, Snowflake's implementation process is praised for its speed and efficiency, with users noting that it requires minimal infrastructure work. This ease of setup is a significant advantage for teams looking to get started quickly.
- Reviewers mention that while CData Virtuality offers strong customer support, Snowflake's support quality is also highly rated, though slightly lower. Users have reported quick resolutions to issues with CData, but Snowflake's architecture and framework are often highlighted as superior for cloud data management.
- G2 reviewers highlight that both platforms have similar ease of use ratings, but Snowflake's overall user experience is enhanced by its intuitive design and functionality, making it a preferred choice for those who prioritize a straightforward interface.
- Users note that while CData Virtuality has a solid reputation in the mid-market segment, Snowflake's strong presence in the enterprise market indicates its capability to handle larger-scale operations effectively, making it a better fit for organizations with extensive data needs.
Pricing
Entry-Level Pricing
CData Virtuality
No pricing availableSnowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
CData Virtuality
No trial information availableSnowflake
Free Trial is available
Ratings
Meets Requirements
9.6
18
9.1
528
Ease of Use
9.0
18
9.0
564
Ease of Setup
9.2
13
8.9
349
Ease of Admin
9.2
13
8.7
213
Quality of Support
9.8
18
8.7
484
Has the product been a good partner in doing business?
9.5
13
9.0
215
Product Direction (% positive)
10.0
18
9.2
497
Features by Category
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
Deployment
Not enough data
9.2
12
Not enough data
8.9
12
Not enough data
9.0
12
Not enough data
9.3
12
Not enough data
9.3
12
Deployment
Not enough data
9.3
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.3
10
Management
Not enough data
9.2
12
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
9.0
12
Operations
Not enough data
8.8
10
Not enough data
8.8
10
Not enough data
9.5
10
Management
Not enough data
9.2
10
Not enough data
9.3
9
Not enough data
9.0
10
Generative AI
Not enough data
8.7
10
Not enough data
8.3
10
System
Not enough data
9.2
28
Model Development
Not enough data
9.1
30
Not enough data
8.5
28
Not enough data
8.2
28
Not enough data
8.7
29
Model Development
Not enough data
8.7
27
Machine/Deep Learning Services
Not enough data
8.5
28
Not enough data
8.5
28
Not enough data
8.3
28
Not enough data
8.3
27
Machine/Deep Learning Services
Not enough data
8.5
27
Not enough data
8.5
24
Deployment
Not enough data
9.1
30
Not enough data
9.0
27
Not enough data
9.2
29
Generative AI
Not enough data
8.5
26
Not enough data
8.3
25
Not enough data
8.5
25
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.2
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
8.5
13
Not enough data
8.2
13
Not enough data
8.3
14
Not enough data
8.2
13
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
9.0
192
|
Verified
Not enough data
8.9
173
|
Verified
Not enough data
9.0
180
|
Verified
Not enough data
8.3
177
|
Verified
Not enough data
8.2
155
|
Verified
Not enough data
8.7
158
|
Verified
Integration
Feature Not Available
8.3
148
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
163
|
Verified
Deployment
Not enough data
7.7
142
|
Verified
Not enough data
9.3
188
|
Verified
Performance
Not enough data
9.3
192
|
Verified
Security
Not enough data
8.9
176
|
Verified
Not enough data
9.1
184
|
Verified
Generative AI
Not enough data
7.9
81
Not enough data
8.1
81
Management
Not enough data
8.9
84
Not enough data
9.1
84
Not enough data
9.4
91
Not enough data
9.0
88
Not enough data
9.1
89
Maintenance
Not enough data
9.3
87
Not enough data
9.0
85
Not enough data
9.3
89
Security
Not enough data
9.2
86
Not enough data
9.3
89
Storage
Not enough data
9.2
44
Not enough data
9.2
44
Availability
Not enough data
9.1
39
Not enough data
9.2
37
Not enough data
9.2
41
Performance
Not enough data
9.2
44
Security
Not enough data
9.1
44
Not enough data
9.2
45
Not enough data
8.9
38
Not enough data
9.2
38
Support
Not enough data
9.2
36
Not enough data
9.1
35
Centralized computation
Not enough data
9.3
25
Localized computation
Not enough data
9.0
24
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
8.9
98
Not enough data
9.3
101
Not enough data
9.3
95
Integrations
Not enough data
8.6
76
Not enough data
8.7
81
Platform
Not enough data
9.1
92
Not enough data
9.0
97
Not enough data
8.7
81
Processing
Not enough data
9.3
97
Not enough data
9.1
95
Data Transformation
Not enough data
9.2
87
Not enough data
9.4
88
Connectivity
Not enough data
8.5
78
Not enough data
8.7
79
Not enough data
9.1
81
Not enough data
9.1
81
Operations
Not enough data
8.6
84
Not enough data
9.2
79
Not enough data
8.9
76
Not enough data
8.8
80
Not enough data
8.7
78
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 Snowflake are categorized as Big Data Integration Platforms and Data Warehouse
Unique Categories
CData Virtuality is categorized as Data Replication, Data Virtualization, ETL Tools, On-Premise Data Integration, and Customer Data Platform (CDP)
Reviews
Reviewers' Company Size
CData Virtuality
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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%
Information Technology and Services
15.0%
Computer Software
13.4%
Financial Services
10.2%
Marketing and Advertising
4.7%
Hospital & Health Care
3.6%
Other
53.1%
Alternatives
Discussions
CData Virtuality has no discussions with answers
What's the best way to manage change data capture in Snowflake?
4 Comments
VT
Please go through this link: https://docs.snowflake.com/en/user-guide/streams
You might get a pertinent response from it.
Please click on this link...Read more
which is best snowflake or My sql
2 Comments
LH
Depends on your needs. MySQL is open source/free. It or Postgres (another open source db) is good for pretty much any normal need. You can install on...Read more
Snowflake - how to connect to Snowflake using NodeJS
2 Comments
DW
Does this help? https://www.ameexusa.com/blogs/connecting-node-js-snowflakeRead more
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