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Compare Great Expectations and dbt 
Featured Products
At a Glance
Market Segments
Mid-Market (45.5% of reviews)
Mid-Market (58.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Great Expectations
Star Rating
(11)4.5 out of 5
Market Segments
Mid-Market (45.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Great Expectationsdbt
Star Rating
(195)4.7 out of 5
Market Segments
Mid-Market (58.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that dbt excels in user satisfaction, boasting a higher overall rating compared to Great Expectations. Users appreciate its ease of setup and integration, with one reviewer noting that it is "very easy to setup, to use" and facilitates teamwork effectively.
- According to verified reviews, dbt has a significantly larger number of reviews, indicating a more established user base and reliable feedback. With 193 reviews compared to Great Expectations' 11, users can feel more confident in the insights shared by their peers.
- Users say that dbt's implementation process is quick and seamless, with many highlighting its ability to automate data model creation. One user mentioned feeling "confident that the KPIs displayed were accurate," thanks to dbt's thorough transformation logic.
- Reviewers mention that Great Expectations provides a strong framework for data validation, allowing users to define their own expectations. This flexibility is particularly beneficial for data professionals who want to focus on analysis rather than data quality concerns.
- G2 reviewers highlight that while Great Expectations offers a user-friendly interface, dbt's structured approach to data work is a standout feature. Users appreciate how dbt integrates well with tools like BigQuery and version control, enhancing their overall workflow.
- According to recent user feedback, both products receive positive marks for support quality, but dbt edges out slightly with a higher score. Users have noted that dbt's support has been a valuable partner in their data transformation efforts, further solidifying its reputation in the market.
Pricing
Entry-Level Pricing
Great Expectations
No pricing availabledbt
No pricing availableFree Trial
Great Expectations
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
9.2
11
9.2
143
Ease of Use
9.1
9
9.0
145
Ease of Setup
9.2
6
8.6
84
Ease of Admin
8.3
6
8.5
59
Quality of Support
8.5
10
8.8
115
Has the product been a good partner in doing business?
8.6
6
8.7
53
Product Direction (% positive)
10.0
10
9.6
130
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
9.0
51
Not enough data
9.1
48
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.7
46
Not enough data
8.7
45
Data Exporting
Not enough data
8.5
42
Not enough data
8.6
44
Not enough data
9.1
46
Generative AI
Not enough data
6.5
27
Management
Not enough data
Feature Not Available
Not enough data
8.2
37
Functionality
Not enough data
Feature Not Available
Not enough data
9.2
43
Not enough data
Feature Not Available
Not enough data
9.5
40
Not enough data
9.2
37
Data Management
Not enough data
9.2
51
Not enough data
9.1
52
Not enough data
9.1
50
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
8.8
48
Not enough data
7.3
35
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
51
Cloud Deployment
Not enough data
8.8
38
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
Functionality
9.4
8
Not enough data
8.8
11
Not enough data
8.8
11
Not enough data
8.9
9
Not enough data
Management
8.3
10
Not enough data
8.9
9
Not enough data
8.5
8
Not enough data
8.7
9
Not enough data
8.6
11
Not enough data
Generative AI
Not enough data
Not enough data
Agentic AI - Data Observability
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
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
8.5
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
9.0
31
Operations
Not enough data
Feature Not Available
Not enough data
9.4
38
Not enough data
8.6
31
Not enough data
8.6
30
Not enough data
8.6
30
Functionality
Not enough data
8.7
39
Not enough data
8.4
36
Not enough data
8.6
40
Not enough data
8.2
38
Not enough data
8.5
38
Management
Not enough data
8.4
39
Not enough data
9.3
43
Not enough data
8.9
37
Not enough data
8.2
39
Not enough data
8.3
42
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
Categories
Categories
Shared Categories
Great Expectations and dbt are categorized as Data Quality
Unique Categories
Great Expectations is categorized as Data Observability
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, ETL Tools, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Great Expectations
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
Accounting
36.4%
Information Technology and Services
18.2%
Telecommunications
9.1%
Security and Investigations
9.1%
Online Media
9.1%
Other
18.2%
Information Technology and Services
19.3%
Computer Software
16.1%
Financial Services
10.4%
Retail
4.7%
Marketing and Advertising
4.7%
Other
44.8%
Alternatives
Discussions
Great Expectations 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
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