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Compare Oracle Data Quality and dbt 
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At a Glance
Market Segments
Enterprise (48.1% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Oracle Data Quality
Star Rating
(54)4.0 out of 5
Market Segments
Enterprise (48.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Oracle Data Qualitydbt
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 Oracle Data Quality excels in data integration with a score of 9.0, allowing seamless connectivity to various data sources, while dbt shines in data transformation with a high score of 9.4, making it ideal for users focused on transforming data efficiently.
- Reviewers mention that Oracle Data Quality offers robust workflow automation capabilities, scoring 9.2, which enhances operational efficiency, whereas dbt's automation features are rated even higher at 9.4, indicating a more streamlined approach to automating data workflows.
- G2 users highlight that Oracle Data Quality provides strong data quality and cleansing features with a score of 9.4, ensuring high data integrity, while dbt's capabilities in this area are also commendable but slightly lower at 8.0, suggesting room for improvement.
- Reviewers say that Oracle Data Quality's quality audits feature is rated 8.7, which helps maintain data standards, while dbt's auditing capabilities are rated lower at 8.1, indicating that users may find Oracle's offering more comprehensive in this aspect.
- Users on G2 report that Oracle Data Quality has a higher score for quality of support at 8.4 compared to dbt's 8.9, suggesting that dbt may provide a more responsive support experience, which is crucial for users needing assistance.
- Reviewers mention that dbt's data modeling capabilities are rated 9.2, making it a preferred choice for users focused on building complex data models, while Oracle Data Quality's score of 9.1 indicates it also performs well but may not be as specialized in this area.
Pricing
Entry-Level Pricing
Oracle Data Quality
No pricing availabledbt
No pricing availableFree Trial
Oracle Data Quality
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
8.3
48
9.2
139
Ease of Use
7.8
48
9.0
141
Ease of Setup
9.0
12
8.6
80
Ease of Admin
9.2
13
8.5
58
Quality of Support
8.4
44
8.9
112
Has the product been a good partner in doing business?
8.7
13
8.8
52
Product Direction (% positive)
7.8
47
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
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
Data Transformation
Not enough data
8.5
32
Not enough data
9.4
38
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
37
Not enough data
8.6
31
Not enough data
8.6
30
Not enough data
8.5
29
Functionality
9.2
16
8.7
38
8.6
16
8.4
36
8.8
16
8.6
38
8.6
16
8.2
38
8.5
14
8.4
36
Management
9.0
16
8.4
38
8.2
16
9.2
42
8.7
14
8.9
37
8.8
14
8.2
39
8.8
14
8.3
41
Generative AI
8.6
14
6.3
20
8.7
14
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
Oracle Data Quality and dbt are categorized as Data Quality
Unique Categories
Oracle Data Quality has no unique categories
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
Oracle Data Quality
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
Hospital & Health Care
20.4%
Information Technology and Services
16.7%
Computer Software
11.1%
Research
5.6%
Transportation/Trucking/Railroad
3.7%
Other
42.6%
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
Oracle Data Quality 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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