Introducing G2.ai, the future of software buying.Try now
Compare Cloudera and dbt 
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.
Astro by Astronomer
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.
Solvexia
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.
QuerySurge
Visit Website
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cloudera
Star Rating
(38)4.0 out of 5
Market Segments
Enterprise (51.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Clouderadbt
Star Rating
(190)4.7 out of 5
Market Segments
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Cloudera excels in data integration with a score of 9.0, allowing seamless connectivity across various data sources, while dbt shines in data transformation with a remarkable score of 9.4, making it a preferred choice for users focused on transforming data efficiently.
- Reviewers mention that Cloudera's breadth of data sources is rated at 8.7, which is beneficial for enterprises needing diverse data access, whereas dbt's ease of data querying is rated higher at 9.2, indicating a more user-friendly experience for data analysis.
- G2 users highlight that Cloudera's quality of support is rated at 6.9, which some find lacking, while dbt's support quality is significantly better at 8.9, suggesting that users may have a more positive experience when seeking assistance.
- Users on G2 report that Cloudera's automation capabilities score 9.3, which is impressive for workflow management, but dbt's automated workflows score even higher at 9.5, indicating superior functionality for users looking to streamline their processes.
- Reviewers mention that Cloudera's performance in data governance is rated at 8.1, which is adequate for enterprise needs, while dbt's governance features are rated at 8.5, providing a slight edge in ensuring data quality and compliance.
- Users say that Cloudera's overall ease of use is rated at 7.7, which some find challenging, while dbt's ease of use is rated at 9.0, making it a more accessible option for teams looking to adopt data transformation tools without extensive training.
Pricing
Entry-Level Pricing
Cloudera
No pricing availabledbt
No pricing availableFree Trial
Cloudera
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
8.2
30
9.2
139
Ease of Use
7.7
30
9.0
141
Ease of Setup
7.8
18
8.6
80
Ease of Admin
7.2
18
8.5
58
Quality of Support
6.9
26
8.9
112
Has the product been a good partner in doing business?
7.8
15
8.8
52
Product Direction (% positive)
7.0
31
9.7
126
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
48
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
41
Not enough data
8.5
44
Not enough data
9.1
49
Not enough data
9.1
47
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.6
44
Not enough data
8.6
44
Data Exporting
Not enough data
8.5
42
Not enough data
8.6
43
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Management
Not enough data
Feature Not Available
Not enough data
8.2
36
Functionality
Not enough data
Feature Not Available
Not enough data
9.2
41
Not enough data
Feature Not Available
Not enough data
9.4
38
Not enough data
9.2
36
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
Not enough data
Not enough data
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
9.2
49
Not enough data
9.1
51
Not enough data
9.1
49
Not enough data
9.3
50
Agentic AI - DataOps Platforms
Not enough data
7.6
9
Not enough data
7.7
8
Not enough data
8.3
10
Not enough data
8.0
9
Not enough data
8.5
9
Analytics
Not enough data
8.7
47
Not enough data
7.3
35
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
50
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
30
Generative AI
Not enough data
5.9
13
Not enough data
6.3
13
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
33
Not enough data
8.4
33
Administration
Not enough data
8.4
36
Not enough data
8.9
34
Not enough data
9.1
34
Agentic AI - Data Warehouse Automation
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
Database
7.8
10
Not enough data
8.8
10
Not enough data
8.1
8
Not enough data
Integrations
8.7
10
Not enough data
8.1
9
Not enough data
Platform
9.2
6
Not enough data
7.5
8
Not enough data
8.1
9
Not enough data
Processing
7.8
6
Not enough data
8.1
8
Not enough data
Data Transformation
7.0
9
|
Verified
8.5
32
8.3
6
|
Verified
9.4
38
Connectivity
9.0
10
|
Verified
8.5
27
9.1
9
|
Verified
8.6
28
8.5
9
|
Verified
8.5
34
9.0
8
|
Verified
9.0
31
Operations
7.5
8
|
Verified
Feature Not Available
8.0
9
|
Verified
9.4
37
7.9
7
|
Verified
8.6
31
Feature Not Available
8.6
30
8.7
5
|
Verified
8.5
29
Functionality
Not enough data
8.7
38
Not enough data
8.4
36
Not enough data
8.6
38
Not enough data
8.2
38
Not enough data
8.4
36
Management
Not enough data
8.4
38
Not enough data
9.2
42
Not enough data
8.9
37
Not enough data
8.2
39
Not enough data
8.3
41
Generative AI
Not enough data
6.3
20
Not enough data
6.7
20
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
Database Features
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
Cloudera and dbt are categorized as Big Data Analytics and Big Data Integration Platforms
Unique Categories
Cloudera is categorized as Big Data Processing and Distribution, Key Value Databases, and Data Warehouse
dbt is categorized as Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Cloudera
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
21.2%
Telecommunications
12.1%
Computer Software
12.1%
Retail
9.1%
Marketing and Advertising
6.1%
Other
39.4%
Information Technology and Services
19.7%
Computer Software
16.5%
Financial Services
10.6%
Retail
4.8%
Marketing and Advertising
4.8%
Other
43.6%
Alternatives
Discussions
Cloudera has no discussions with answers
What is DBT tool used for?
2 Comments
WW
SQL data transformations.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 database tool?
1 Comment
SY
DBT (DataBase Transformations) uses SQL select statements, with some added magic from Jinja templating language, to model and transform data. It's a highly...Read more
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.
