Compare Amazon Redshift and dbt 
At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Mid-Market (57.7% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
No pricing available
Amazon Redshift
Star Rating
(400)4.3 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansdbt
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 Amazon Redshift excels in scalability, allowing users to store and analyze large datasets efficiently. Users appreciate its cost-effective solution compared to traditional data warehousing, with features like multi-zone architecture for data safeguarding and easy scaling options.
- Users say that dbt stands out for its ease of use and integration capabilities. Many find it simple to set up and leverage for daily data transformations, with one reviewer highlighting its ability to provide structure to data work and facilitate teamwork through seamless integration with tools like BigQuery.
- According to verified reviews, Amazon Redshift has a higher overall satisfaction score, reflecting its strong performance in areas like query performance and cross-database analytics. Users note that these features significantly enhance their data analysis capabilities.
- Reviewers mention that dbt's automation of data model creation boosts their confidence in data accuracy. Users appreciate the thorough testing of transformation logic, which ensures that key performance indicators are reliable and trustworthy.
- G2 reviewers highlight that while both products have similar ease of setup scores, dbt's user experience is often described as more intuitive, making it a preferred choice for teams looking for a user-friendly data transformation tool that integrates well with existing workflows.
- Users report that Amazon Redshift's robust support and documentation contribute to a smoother implementation process, with many praising its easy logs access and the ability to quickly inject data using tools like EMR and Lambda, which enhances operational efficiency.
Pricing
Entry-Level Pricing
Amazon Redshift
RA3.4xlarge
$1.22 - $3.26
Per hour
On-demand, 1-Year, or 3-Year Terms
- Commit to save up to 34%
dbt
No pricing availableFree Trial
Amazon Redshift
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.7
284
9.2
147
Ease of Use
8.7
284
9.0
149
Ease of Setup
8.6
141
8.6
88
Ease of Admin
8.4
129
8.5
59
Quality of Support
8.5
267
8.9
118
Has the product been a good partner in doing business?
8.7
128
8.6
53
Product Direction (% positive)
8.9
255
9.6
134
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
Data Management
8.8
135
|
Verified
Not enough data
8.4
125
|
Verified
Not enough data
8.8
131
|
Verified
Not enough data
8.0
127
|
Verified
Not enough data
7.6
102
|
Verified
Not enough data
8.3
119
|
Verified
Not enough data
Integration
7.9
101
|
Verified
Not enough data
8.7
129
|
Verified
Not enough data
8.6
119
|
Verified
Not enough data
Deployment
8.1
102
Not enough data
8.9
131
|
Verified
Not enough data
Performance
8.9
136
|
Verified
Not enough data
Security
8.7
126
|
Verified
Not enough data
8.8
128
|
Verified
Not enough data
Generative AI
7.3
20
Not enough data
7.2
19
Not enough data
Storage
8.4
53
Not enough data
8.4
56
Not enough data
Availability
8.6
47
Not enough data
8.2
50
Not enough data
8.4
48
Not enough data
Performance
8.2
48
Not enough data
Security
8.7
47
Not enough data
8.4
52
Not enough data
8.1
47
Not enough data
8.5
48
Not enough data
Support
7.9
43
Not enough data
8.5
47
Not enough data
Data Management
Not enough data
9.2
51
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
Data Transformation
Not enough data
8.5
32
Not enough data
9.4
39
Connectivity
Not enough data
8.4
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
8.9
31
Operations
Not enough data
Feature Not Available
Not enough data
9.3
38
Not enough data
8.6
30
Not enough data
8.7
30
Not enough data
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
Amazon Redshift and dbt are categorized as Big Data Integration Platforms
Unique Categories
Amazon Redshift is categorized as Columnar Databases and Data Warehouse
dbt is categorized as Big Data Analytics, Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Amazon Redshift
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
15.3%
Computer Software
12.6%
Financial Services
7.7%
Retail
5.2%
Marketing and Advertising
4.7%
Other
54.5%
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
When can I use Amazon redshift?
3 Comments
VK
You can use it in Datawarehousing. Read more
Should I use with a data mart for a frontend tool that make request on it ?
3 Comments
NM
Hi Mehdi
Can you elaborate your question?
AWS Redshift is a DataBase/Data Warehouse service, which is Ideal for Analytical use cases.
You can...Read more
What are the characteristics of redshift?
2 Comments
AK
Redshift is mainly used for Big data and analytics to store the data in columner format. Retrieve the data is very fast and parallel processing also most...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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