Compare Databricks and dbt 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Mid-Market (57.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(746)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricksdbt
Star Rating
(199)4.7 out of 5
Market Segments
Mid-Market (57.7% 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 Databricks excels in providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one platform. Users appreciate the convenience of having everything available in a single environment, which enhances productivity.
- Users say that dbt stands out for its developer-friendly approach to data transformation, promoting a structured workflow that allows teams to focus on transformation logic rather than boilerplate code. This SQL-first methodology is praised for making analytics work more organized and predictable.
- Reviewers mention that Databricks offers robust governance features through its Unity Catalog, which has been a game-changer for enterprises migrating from traditional architectures. This capability provides centralized governance, lineage tracking, and fine-grained access control, which are critical for managing large datasets.
- According to verified reviews, dbt is recognized for fostering discipline in data transformation practices. Users highlight how it encourages careful consideration before making changes, which has positively impacted their workflow and overall data management approach.
- G2 reviewers report that while Databricks has a higher overall satisfaction score, dbt's users appreciate its ease of use and setup, often noting that it allows for a smoother onboarding experience. This makes dbt particularly appealing for teams looking to quickly implement a data transformation tool without extensive training.
- Users say that Databricks, despite its higher complexity, provides superior scalability and performance for enterprise-level applications, making it a preferred choice for larger organizations. In contrast, dbt is often favored by mid-market companies for its simplicity and focus on analytics, which aligns well with their needs.
Pricing
Entry-Level Pricing
Databricks
No pricing availabledbt
No pricing availableFree Trial
Databricks
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.9
589
9.2
147
Ease of Use
8.9
602
9.0
149
Ease of Setup
8.7
474
8.6
88
Ease of Admin
8.4
184
8.5
59
Quality of Support
8.7
565
8.9
118
Has the product been a good partner in doing business?
8.9
188
8.6
53
Product Direction (% positive)
9.6
576
9.6
134
Features by Category
Reports
8.5
14
Not enough data
7.9
12
Not enough data
8.5
12
Not enough data
8.2
10
Not enough data
9.1
16
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
148
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
Reports
8.5
14
Not enough data
7.9
12
Not enough data
8.5
12
Not enough data
8.2
10
Not enough data
9.1
16
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
148
Not enough data
Data Source Access
Not enough data
8.8
47
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
40
Not enough data
8.5
44
Not enough data
9.0
50
Not enough data
9.1
48
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.7
47
Not enough data
8.7
45
Data Exporting
Not enough data
8.5
41
Not enough data
8.7
44
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Not enough data
Management
8.6
173
Feature Not Available
8.5
165
8.2
37
Functionality
9.1
177
Feature Not Available
9.2
179
9.3
45
9.1
174
Feature Not Available
9.0
168
9.5
40
9.1
169
9.2
37
Deployment
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Not enough data
Deployment
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
181
Not enough data
Model Development
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Not enough data
Model Development
8.5
173
Not enough data
Machine/Deep Learning Services
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Not enough data
Machine/Deep Learning Services
8.4
159
Not enough data
8.4
161
Not enough data
Deployment
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Not enough data
Generative AI
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Not enough data
Data Management
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
176
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
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
Maintenance
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
Data Management
9.0
69
9.2
51
8.8
71
9.1
52
8.8
69
9.1
49
9.1
70
9.3
49
Agentic AI - DataOps Platforms
9.2
10
7.5
8
9.0
8
7.4
7
9.0
10
8.1
9
9.1
9
8.1
9
9.4
9
8.3
8
Analytics
8.8
68
8.8
48
8.6
68
7.3
34
Monitoring and Management
8.6
68
8.7
43
8.6
69
8.9
51
Cloud Deployment
9.0
64
8.7
37
9.0
65
8.8
29
Generative AI
9.0
37
5.7
12
8.9
37
6.0
12
Automation
Not enough data
8.8
34
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
8.4
37
Not enough data
8.9
34
Not enough data
9.1
35
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
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 & 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
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
239
Not enough data
8.9
247
Not enough data
9.3
264
Not enough data
Integrations
8.3
220
Not enough data
9.1
266
Not enough data
Platform
9.0
259
Not enough data
8.9
255
Not enough data
9.1
266
Not enough data
Processing
9.0
247
Not enough data
9.0
253
Not enough data
Data Transformation
8.9
229
8.5
32
9.1
237
9.4
39
Connectivity
8.7
208
8.4
27
9.2
231
8.6
28
9.0
222
8.5
34
9.2
232
8.9
31
Operations
8.4
230
Feature Not Available
8.8
228
9.3
38
8.6
214
8.6
30
8.6
210
8.7
30
9.3
233
8.6
30
Functionality
Not enough data
8.7
39
Not enough data
8.3
36
Not enough data
8.7
40
Not enough data
8.2
38
Not enough data
8.4
38
Management
Not enough data
8.5
40
Not enough data
9.3
42
Not enough data
8.8
36
Not enough data
8.1
39
Not enough data
8.3
41
Generative AI
Not enough data
6.2
19
Not enough data
6.6
19
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
148
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
Databricks and dbt are categorized as DataOps Platforms, ETL Tools, and Big Data Analytics
Unique Categories
dbt is categorized as Big Data Integration Platforms, Data Preparation, Data Quality, Data Warehouse Automation, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Databricks
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
Information Technology and Services
15.9%
Financial Services
10.2%
Computer Software
8.5%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
57.7%
Information Technology and Services
19.4%
Computer Software
16.3%
Financial Services
10.2%
Retail
5.1%
Marketing and Advertising
4.6%
Other
44.4%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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 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
What is DBT technology?
1 Comment
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
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