Compare Soda and dbt 
At a Glance
Market Segments
Mid-Market (43.6% of reviews)
Mid-Market (59.9% of reviews)
Entry-Level Pricing
Free Trial
No pricing available
Soda
Star Rating
(55)4.4 out of 5
Market Segments
Mid-Market (43.6% of reviews)
Entry-Level Pricing
Free Trial
Free Trial is available
Learn more about Sodadbt
Star Rating
(159)4.8 out of 5
Market Segments
Mid-Market (59.9% 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 dbt excels in data transformation capabilities, scoring 9.4 in this area, while Soda's transformation score is lower at 8.0. Reviewers mention that dbt's ability to handle complex transformations is a significant advantage for data teams.
- Reviewers mention that Soda shines in data quality monitoring, achieving a score of 9.2, compared to dbt's 8.0. Users on G2 highlight Soda's robust features for identifying and correcting data quality issues as a key benefit.
- G2 users report that dbt offers superior automation features, with a score of 9.4, while Soda's automation score is 8.6. Reviewers say that dbt's automated workflows significantly enhance productivity and reduce manual errors.
- Users say that dbt provides a more comprehensive data lineage feature, scoring 7.5, which allows for better tracking of data transformations. In contrast, Soda's data lineage capabilities are perceived as less robust, leading to some user frustration.
- Reviewers mention that Soda's real-time alerts feature, scoring 8.6, is particularly effective for immediate data quality issues, while dbt's score in this area is slightly lower at 8.0. Users appreciate the proactive notifications that Soda provides.
- Users on G2 report that dbt has a higher overall satisfaction rating with a G2 score of 4.8, compared to Soda's 4.4. Reviewers say that dbt's user-friendly interface and strong community support contribute to its higher ratings.
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Pricing
Entry-Level Pricing
Soda
Soda Data Quality Testing & Observability Platform
Free Trial
Soda provides data teams with a scalable, easy way to test and observe data quality. For 45 days, you’ll have full access to Soda – including Soda AI, the generative AI for data quality empowering coders and non-coders alike. Now is the perfect opportunity to ensure your critical business data is tested and trustworthy.
You’ll be able to run checks on the data critical to your business and collaborate with your team to analyze and resolve data quality issues.
We’ve designed an experience that will give you a taste of how Soda empowers data teams to test and deliver data that everyone can trust. We think it’s awesome and we hope you will too!
- Soda AI, the generative AI for data quality translating natural language into production-ready data quality checks.
- SodaCL, a human-readable and -writable language to test and monitor data as-code in CI/CD and data pipelines.
- Soda Library, the Python library and CLI tool for data quality testing with built-in checks and automated suggestions.
dbt
No pricing availableFree Trial
Soda
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.7
49
9.3
110
Ease of Use
8.5
50
9.0
110
Ease of Setup
8.4
29
8.5
51
Ease of Admin
8.6
22
8.4
49
Quality of Support
8.7
49
8.9
86
Has the product been a good partner in doing business?
8.9
22
8.8
43
Product Direction (% positive)
9.0
49
9.8
95
Features by Category
Data Source Access
Not enough data
8.7
30
Not enough data
9.2
32
Not enough data
8.5
25
Data Interaction
Not enough data
8.1
25
Not enough data
8.5
27
Not enough data
9.2
32
Not enough data
9.3
32
Not enough data
9.1
28
Not enough data
9.4
32
Not enough data
8.2
28
Not enough data
8.5
28
Data Exporting
Not enough data
8.5
28
Not enough data
8.7
27
Not enough data
9.2
29
Generative AI
Not enough data
Feature Not Available
Management
Not enough data
Feature Not Available
Not enough data
8.0
23
Functionality
Not enough data
Feature Not Available
Not enough data
9.4
29
Not enough data
Feature Not Available
Not enough data
9.3
25
Not enough data
9.2
23
Data Management
Not enough data
9.0
35
Not enough data
8.9
33
Not enough data
9.1
34
Not enough data
9.5
34
Analytics
Not enough data
8.8
28
Not enough data
6.3
19
Monitoring and Management
Not enough data
8.6
29
Not enough data
8.9
36
Cloud Deployment
Not enough data
8.6
22
Not enough data
9.2
17
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Automation
Not enough data
9.2
26
Not enough data
8.7
24
Not enough data
9.3
28
Not enough data
Feature Not Available
Functionality
Not enough data
8.7
26
Not enough data
8.8
24
Not enough data
8.7
25
Administration
Not enough data
8.2
27
Not enough data
9.0
26
Not enough data
9.1
25
Functionality
8.0
22
Not enough data
9.2
24
Not enough data
8.1
24
Not enough data
8.8
24
Not enough data
Management
8.6
24
Not enough data
8.3
20
Not enough data
8.6
23
Not enough data
7.5
21
Not enough data
8.5
24
Not enough data
Generative AI
6.1
14
Not enough data
Data Transformation
Not enough data
7.7
18
Not enough data
9.2
24
Connectivity
Not enough data
7.7
14
Not enough data
8.3
14
Not enough data
8.3
20
Not enough data
8.5
17
Operations
Not enough data
Feature Not Available
Not enough data
9.5
23
Not enough data
8.4
18
Not enough data
8.2
16
Not enough data
7.8
17
Functionality
8.7
42
8.3
24
Feature Not Available
8.0
23
8.0
41
8.1
25
Feature Not Available
7.9
25
7.9
43
8.0
23
Management
7.7
33
8.1
24
Feature Not Available
9.4
28
8.5
42
8.7
25
7.7
42
7.8
26
8.2
38
8.1
29
Generative AI
5.9
25
Feature Not Available
6.3
25
Feature Not Available
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
Soda and dbt are categorized as Data Quality
Unique Categories
Soda is categorized as Data Observability
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, ETL Tools, Data Warehouse Automation, and DataOps Platforms
Reviews
Reviewers' Company Size
Soda
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
21.8%
Computer Software
18.2%
Consulting
16.4%
Financial Services
9.1%
Retail
3.6%
Other
30.9%
Computer Software
17.8%
Information Technology and Services
14.6%
Financial Services
11.5%
Retail
5.1%
Marketing and Advertising
5.1%
Other
45.9%
Most Helpful Reviews
Soda
Most Helpful Favorable Review
Verified User in Consulting
Easiness of integration Ease of use Fast switch to soda cloud Data contract lots of data quality checks Lots of Soda Cloud features
Most Helpful Critical Review
Mihai S.
Verified User in Internet
It is hard to integrate soda-core with dagster. Both, especially so Dagster changed a lot during the last year and finding up to date documentation is difficult. As integration is the first step I suggest creating more complete integration samples for...
dbt
Most Helpful Favorable Review
Verified User in Marketing and Advertising
dbt is excellent due to its wide use of macros and the ability to transform data using SQL, an analyst-friendly language. Given this we can train analysts to read dbt and understand the logic behind our data transformations, limiting the amount of work we...
Most Helpful Critical Review
Verified User in Computer & Network Security
DBT cloud is not ready for production, do not use it. All of our scheduled jobs had been running fine for months, DBT released a change within their infrastructure which meant these jobs could no longer connect to our warehouse due to a missing sasl...
Verified User in Consulting
Easiness of integration Ease of use Fast switch to soda cloud Data contract lots of data quality checks Lots of Soda Cloud features
Verified User in Marketing and Advertising
dbt is excellent due to its wide use of macros and the ability to transform data using SQL, an analyst-friendly language. Given this we can train analysts to read dbt and understand the logic behind our data transformations, limiting the amount of work we...
Mihai S.
Verified User in Internet
It is hard to integrate soda-core with dagster. Both, especially so Dagster changed a lot during the last year and finding up to date documentation is difficult. As integration is the first step I suggest creating more complete integration samples for...
Verified User in Computer & Network Security
DBT cloud is not ready for production, do not use it. All of our scheduled jobs had been running fine for months, DBT released a change within their infrastructure which meant these jobs could no longer connect to our warehouse due to a missing sasl...
Alternatives
Discussions
Soda has no discussions with answers
What is DBT tool used for?
2 comments
WW
I'm sorry, but it seems like the text you provided is not in an unknown language. It appears to be a reference to SQL (Structured Query Language) data...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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