Compare Dremio and Snowflake 
Featured Products
At a Glance
Market Segments
Enterprise (48.4% of reviews)
Mid-Market (43.8% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
Dremio
Star Rating
(70)4.6 out of 5
Market Segments
Enterprise (48.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DremioSnowflake
Star Rating
(723)4.6 out of 5
Market Segments
Mid-Market (43.8% 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, with a significantly higher G2 Score compared to Dremio. Users appreciate its ability to make advanced data warehousing simple, fast, and scalable without the need for heavy infrastructure work.
- According to verified reviews, Snowflake's implementation process is praised for its ease, with users highlighting the intuitive framework that allows for quick SQL query execution. In contrast, while Dremio also receives positive feedback for its fast connection to multiple data sources, it lacks the same level of comprehensive support and user satisfaction.
- Users say that Snowflake's architecture is particularly well-suited for cloud data, making it a preferred choice for enterprises looking for robust data solutions. Dremio, while effective in connecting to various data sources, does not match the same level of cloud processing capabilities that Snowflake offers.
- Reviewers mention that Snowflake provides a higher quality of support, with users rating it positively for its responsiveness and helpfulness. Dremio's support is also rated well, but it falls slightly short in comparison, which can impact user experience during critical times.
- G2 reviewers highlight that Snowflake's data querying capabilities are superior, with users noting its efficiency and effectiveness in handling complex queries. Dremio, while also capable, does not deliver the same level of performance, particularly in high-demand scenarios.
- According to recent user feedback, Snowflake's data governance and quality features are highly regarded, with users emphasizing the importance of these aspects in their operations. Dremio, while offering some governance features, does not provide the same depth, which can be a concern for organizations prioritizing data integrity.
Pricing
Entry-Level Pricing
Dremio
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
Dremio
Free Trial is available
Snowflake
Free Trial is available
Ratings
Meets Requirements
8.7
53
9.1
555
Ease of Use
9.2
54
9.0
591
Ease of Setup
8.4
48
8.9
375
Ease of Admin
7.8
29
8.6
211
Quality of Support
8.5
50
8.7
508
Has the product been a good partner in doing business?
9.1
28
9.0
213
Product Direction (% positive)
9.8
47
9.2
524
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
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
Deployment
Not enough data
9.2
13
Not enough data
9.0
13
Not enough data
9.1
13
Not enough data
9.4
13
Not enough data
9.4
13
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
11
Not enough data
9.5
11
Not enough data
9.4
11
Management
Not enough data
9.0
13
Not enough data
9.0
12
Not enough data
9.2
13
Not enough data
9.1
13
Operations
Not enough data
8.9
11
Not enough data
8.9
11
Not enough data
9.5
11
Management
Not enough data
9.2
11
Not enough data
9.3
10
Not enough data
8.8
11
Generative AI
Not enough data
8.6
11
Not enough data
8.5
11
System
Not enough data
9.2
30
Model Development
Not enough data
9.1
31
Not enough data
8.6
29
Not enough data
8.3
29
Not enough data
8.8
30
Model Development
Not enough data
8.8
28
Machine/Deep Learning Services
Not enough data
8.6
29
Not enough data
8.6
29
Not enough data
8.4
29
Not enough data
8.4
28
Machine/Deep Learning Services
Not enough data
8.6
28
Not enough data
8.5
25
Deployment
Not enough data
9.1
31
Not enough data
9.0
28
Not enough data
9.2
30
Generative AI
Not enough data
8.5
27
Not enough data
8.4
26
Not enough data
8.5
26
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.3
14
Not enough data
8.3
14
Not enough data
8.5
14
Not enough data
8.6
14
Not enough data
8.3
14
Not enough data
8.4
15
Not enough data
8.3
14
Data Management
8.6
23
9.1
209
|
Verified
8.6
21
8.9
179
|
Verified
8.3
12
9.1
188
|
Verified
7.7
20
8.4
186
|
Verified
Feature Not Available
8.3
164
|
Verified
8.9
23
8.8
169
|
Verified
Integration
Feature Not Available
8.4
160
|
Verified
8.8
21
9.0
198
|
Verified
9.0
22
8.9
172
|
Verified
Deployment
8.7
15
7.9
149
|
Verified
8.5
19
9.3
203
|
Verified
Performance
8.3
21
9.3
214
|
Verified
Security
8.2
20
8.9
187
|
Verified
Feature Not Available
9.1
196
|
Verified
Generative AI
6.9
12
8.0
85
Not enough data
8.1
84
Management
Not enough data
9.0
86
Not enough data
9.1
86
Not enough data
9.4
92
Not enough data
9.0
91
Not enough data
9.1
90
Maintenance
Not enough data
9.3
88
Not enough data
9.0
87
Not enough data
9.3
90
Security
Not enough data
9.3
88
Not enough data
9.3
91
Storage
Not enough data
9.2
45
Not enough data
9.2
45
Availability
Not enough data
9.1
40
Not enough data
9.2
38
Not enough data
9.2
42
Performance
Not enough data
9.2
45
Security
Not enough data
9.1
45
Not enough data
9.2
46
Not enough data
8.9
39
Not enough data
9.2
39
Support
Not enough data
9.2
37
Not enough data
9.2
36
Centralized computation
Not enough data
9.3
26
Localized computation
Not enough data
9.1
25
Data Management
8.6
11
Not enough data
8.8
11
Not enough data
Feature Not Available
Not enough data
Data as a Service
7.6
11
Not enough data
8.2
11
Not enough data
Architecture
8.2
11
Not enough data
8.6
11
Not enough data
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
Database
Feature Not Available
9.0
100
Feature Not Available
9.3
103
Feature Not Available
9.3
97
Integrations
9.0
18
8.7
78
7.9
13
8.7
83
Platform
9.1
20
9.1
94
8.7
13
9.0
99
7.9
13
8.7
83
Processing
9.1
19
9.3
99
8.6
13
9.1
97
Data Transformation
Feature Not Available
9.2
90
9.2
25
9.4
91
Connectivity
8.6
22
8.6
80
Feature Not Available
8.7
81
8.9
23
9.1
84
8.9
26
9.1
83
Operations
7.2
25
8.6
87
7.1
25
9.2
82
7.8
27
8.9
77
7.7
21
8.8
82
7.0
21
8.8
81
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
Dremio and Snowflake are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Dremio is categorized as Data as a Service (DaaS) and Semantic Layer Tools
Snowflake is categorized as Data Clean Room, Columnar Databases, MLOps Platforms, Big Data Integration Platforms, Data Science and Machine Learning Platforms, Database Management Systems (DBMS), and Data Governance
Reviews
Reviewers' Company Size
Dremio
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
Financial Services
25.0%
Information Technology and Services
10.9%
Computer Software
7.8%
Automotive
4.7%
Marketing and Advertising
4.7%
Other
46.9%
Information Technology and Services
15.1%
Computer Software
13.9%
Financial Services
9.7%
Marketing and Advertising
4.5%
Hospital & Health Care
3.4%
Other
53.2%
Alternatives
Discussions
What is a Dremio reflection?
1 Comment
EW
Comment deleted by user.Read more
Dremio has no more discussions with answers
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