Compare Dremio and dbt 
At a Glance
Market Segments
Enterprise (48.4% of reviews)
Mid-Market (56.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 Dremiodbt
Star Rating
(204)4.7 out of 5
Market Segments
Mid-Market (56.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dremio excels in its ease of use, with users highlighting how quickly they could connect to multiple data sources without a complicated setup process. One user noted, "I was surprised at how fast we could connect to... multiple data sources," showcasing its user-friendly interface.
- Users say that dbt provides a structured approach to data transformation, making it a favorite for teams looking to streamline their workflows. A reviewer mentioned, "The largest benefit of dbt to me is that it provides structure to data work," which is particularly beneficial for collaborative environments.
- According to verified reviews, Dremio's ability to connect to a wide array of data sources, including both relational and NoSQL databases, is a significant advantage. Users appreciate the platform's flexibility, stating, "I love the platform’s ability to connect to a wide array of data sources," which enhances its utility in diverse data environments.
- Reviewers mention that dbt's integration capabilities are a strong point, particularly with tools like BigQuery and version control systems. Users have found it "very easy to integrate and leverage the tool," which facilitates teamwork and enhances productivity.
- G2 reviewers highlight that while Dremio has a higher overall satisfaction score, dbt's recent user feedback indicates a strong performance in quality of support. Users noted that dbt's support is responsive and helpful, with one stating, "It did not add any delay during implementation," reflecting positively on their customer service experience.
- Users report that Dremio's data querying capabilities are impressive, with a score that reflects its effectiveness in handling complex queries. One user appreciated the ability to "query directly S3 and HDFS," which showcases its robust data handling features compared to dbt's more focused data transformation capabilities.
Pricing
Entry-Level Pricing
Dremio
No pricing availabledbt
No pricing availableFree Trial
Dremio
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.7
53
9.2
151
Ease of Use
9.2
54
9.0
153
Ease of Setup
8.4
48
8.6
92
Ease of Admin
7.8
29
8.5
59
Quality of Support
8.5
50
8.8
122
Has the product been a good partner in doing business?
9.1
28
8.6
53
Product Direction (% positive)
9.8
47
9.6
137
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
Data Source Access
Not enough data
8.8
47
Not enough data
9.2
51
Not enough data
8.6
42
Data Interaction
Not enough data
8.3
41
Not enough data
8.6
45
Not enough data
9.0
51
Not enough data
9.1
49
Not enough data
9.1
43
Not enough data
9.4
49
Not enough data
8.7
48
Not enough data
8.7
46
Data Exporting
Not enough data
8.5
42
Not enough data
8.7
45
Not enough data
9.1
46
Generative AI
Not enough data
6.5
27
Management
Not enough data
Feature Not Available
Not enough data
8.3
39
Functionality
Not enough data
Feature Not Available
Not enough data
9.3
47
Not enough data
Feature Not Available
Not enough data
9.4
42
Not enough data
9.2
39
Data Management
8.6
23
Not enough data
8.6
21
Not enough data
8.3
12
Not enough data
7.7
20
Not enough data
Feature Not Available
Not enough data
8.9
23
Not enough data
Integration
Feature Not Available
Not enough data
8.8
21
Not enough data
9.0
22
Not enough data
Deployment
8.7
15
Not enough data
8.5
19
Not enough data
Performance
8.3
21
Not enough data
Security
8.2
20
Not enough data
Feature Not Available
Not enough data
Generative AI
6.9
12
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
9.3
53
Not enough data
9.1
53
Not enough data
9.1
50
Not enough data
9.3
51
Agentic AI - DataOps Platforms
Not enough data
7.5
8
Not enough data
7.4
7
Not enough data
8.3
10
Not enough data
8.1
9
Not enough data
8.5
9
Analytics
Not enough data
8.8
48
Not enough data
7.3
34
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
52
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
29
Generative AI
Not enough data
5.7
12
Not enough data
6.0
12
Automation
Not enough data
8.8
35
Not enough data
8.3
32
Not enough data
8.6
35
Not enough data
Feature Not Available
Functionality
Not enough data
8.6
34
Not enough data
8.6
34
Not enough data
8.4
34
Administration
Not enough data
8.5
38
Not enough data
8.9
34
Not enough data
9.2
36
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
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
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Integrations
9.0
18
Not enough data
7.9
13
Not enough data
Platform
9.1
20
Not enough data
8.7
13
Not enough data
7.9
13
Not enough data
Processing
9.1
19
Not enough data
8.6
13
Not enough data
Data Transformation
Feature Not Available
8.5
32
9.2
25
9.4
39
Connectivity
8.6
22
8.4
27
Feature Not Available
8.6
28
8.9
23
8.5
34
8.9
26
8.9
31
Operations
7.2
25
Feature Not Available
7.1
25
9.3
38
7.8
27
8.6
30
7.7
21
8.7
30
7.0
21
8.6
30
Functionality
Not enough data
8.7
40
Not enough data
8.4
37
Not enough data
8.7
41
Not enough data
8.2
39
Not enough data
8.4
39
Management
Not enough data
8.5
41
Not enough data
9.3
43
Not enough data
8.9
37
Not enough data
8.1
39
Not enough data
8.4
42
Generative AI
Not enough data
6.2
19
Not enough data
6.6
19
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 dbt are categorized as Big Data Analytics and Semantic Layer Tools
Unique Categories
Dremio is categorized as Big Data Processing and Distribution, Data Warehouse, and Data as a Service (DaaS)
dbt is categorized as Big Data Integration Platforms, Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, and DataOps Platforms
Reviews
Reviewers' Company Size
Dremio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
dbt
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
19.5%
Computer Software
17.0%
Financial Services
10.0%
Retail
5.0%
Marketing and Advertising
4.5%
Other
44.0%
Alternatives
Discussions
What is a Dremio reflection?
1 Comment
EW
Comment deleted by user.Read more
Dremio has no more discussions with answers
What is DBT data Modelling?
2 Comments
TH
dbt data modeling is not a thing. Dbt is a transformation tool that makes it easier to implement data modeling techniques like snowflake, data vault etc. Read more
What is DBT technology?
2 Comments
TH
dbt is a data transformation tool that helps organize & run SQL files. The SQL files are only SELECT statements while dbt takes care of the boilerplate...Read more
What is DBT tool used for?
2 Comments
WW
Data transformations. The 'T' in ELT/ELT. It lets you version-control and easily modify all your data transformations between (say) your source tables from...Read more
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