Compare Qubole and dbt 
Featured Products
At a Glance
Market Segments
Enterprise (51.1% of reviews)
Mid-Market (57.4% of reviews)
Entry-Level Pricing
30 day free trial
No pricing available
Qubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansdbt
Star Rating
(198)4.7 out of 5
Market Segments
Mid-Market (57.4% 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 dbt excels in user experience, with many praising its ease of setup and integration capabilities. Users appreciate how quickly they can start using dbt for data transformation, highlighting its seamless integration with tools like BigQuery and version control systems.
- According to verified reviews, Qubole stands out for its innovative features that simplify big data management. Users mention the platform's user-friendly interface and the ease of connecting to AWS, making it a solid choice for those looking to manage large datasets programmatically.
- Reviewers mention that dbt provides a structured approach to data work, which enhances collaboration among teams. Users have noted that the tool facilitates teamwork without adding delays during implementation, making it a reliable option for organizations focused on data accuracy and efficiency.
- Users say that Qubole offers a robust environment for ETL processes, particularly with its ability to manage data on S3 and integrate with Hadoop's HDFS. This capability is frequently highlighted as a key advantage for enterprises dealing with large-scale data operations.
- G2 reviewers highlight that while Qubole has a solid feature set, it faces challenges in overall user satisfaction compared to dbt. The feedback indicates that users find dbt's support and product direction to be more aligned with their needs, contributing to a higher satisfaction score.
- According to recent user feedback, dbt's automation features for creating data models instill confidence in users regarding data accuracy. This aspect is particularly valued by teams that rely on precise KPIs, showcasing dbt's strength in ensuring trustworthy data transformations.
Pricing
Entry-Level Pricing
Qubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
dbt
No pricing availableFree Trial
Qubole
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.4
211
9.2
146
Ease of Use
7.8
212
9.0
148
Ease of Setup
7.6
60
8.6
87
Ease of Admin
7.6
58
8.5
59
Quality of Support
7.9
177
8.9
117
Has the product been a good partner in doing business?
8.1
61
8.6
53
Product Direction (% positive)
7.1
208
9.6
133
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
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
Management
Not enough data
Feature Not Available
Not enough data
8.2
37
Functionality
Not enough data
Feature Not Available
Not enough data
9.3
45
Not enough data
Feature Not Available
Not enough data
9.5
40
Not enough data
9.2
37
System
9.0
7
Not enough data
Model Development
7.9
7
Not enough data
6.7
5
Not enough data
8.0
5
Not enough data
8.1
6
Not enough data
Model Development
8.3
5
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
8.0
5
Not enough data
Deployment
9.0
5
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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 Management
Not enough data
9.2
50
Not enough data
9.1
52
Not enough data
9.1
49
Not enough data
9.3
49
Agentic AI - DataOps Platforms
Not enough data
7.5
8
Not enough data
7.4
7
Not enough data
8.1
9
Not enough data
8.1
9
Not enough data
8.3
8
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
51
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
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
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
8.0
64
Not enough data
8.4
83
Not enough data
8.3
79
Not enough data
Integrations
8.6
81
Not enough data
8.6
87
Not enough data
Platform
8.3
72
Not enough data
8.3
82
Not enough data
8.6
87
Not enough data
Processing
8.5
85
Not enough data
8.3
82
Not enough data
Data Transformation
8.0
119
|
Verified
8.5
32
8.8
10
|
Verified
9.4
39
Connectivity
8.8
107
|
Verified
8.4
27
8.6
123
|
Verified
8.6
28
8.3
108
|
Verified
8.5
34
8.5
113
|
Verified
8.9
31
Operations
7.0
104
|
Verified
Feature Not Available
7.8
116
|
Verified
9.3
38
7.2
75
|
Verified
8.6
30
7.8
69
|
Verified
8.7
30
8.8
11
|
Verified
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
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
Qubole and dbt are categorized as Big Data Analytics and Big Data Integration Platforms
Unique Categories
Qubole is categorized as Big Data Processing and Distribution and Data Science and Machine Learning Platforms
dbt is categorized as Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Qubole
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
Computer Software
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
Information Technology and Services
19.5%
Computer Software
16.4%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.6%
Alternatives
Discussions
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 Comments
RR
It give clarity about financial data which help at business level to expansion and cut down cost , to review apex and opex and budgeting prospectiveRead more
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
2 Comments
RR
we can create schma by using postman and multiple chart which to help to analysis the data and clarity about the decision making of further processRead more
How is Qubole going to survive the Kubernates wave in bigdata processing.
1 Comment
JV
Qubole supports Kubernetes for its control plane—it was announced in April 2019 during the Google Next '19 conference. Please sign up to our newsletter for...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
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