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At a Glance
Market Segments
Enterprise (55.6% of reviews)
Mid-Market (58.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Denodo
Star Rating
(44)4.3 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Denododbt
Star Rating
(194)4.7 out of 5
Market Segments
Mid-Market (58.1% 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.
- Users report that Denodo excels in "Data Virtualization" capabilities, allowing for seamless integration of disparate data sources, while dbt shines in "Data Transformation" with its robust SQL-based modeling features that enable users to build complex data pipelines efficiently.
- Reviewers mention that Denodo's "Dynamic Data Masking" feature provides strong data governance, ensuring sensitive information is protected, whereas dbt users appreciate its "Automated Workflows" that simplify the process of data transformation and deployment.
- G2 users highlight that Denodo's "Breadth of Data Sources" is impressive, supporting a wide range of databases and applications, while dbt's "Data Quality and Cleansing" features are praised for their effectiveness in ensuring data integrity throughout the transformation process.
- Users on G2 report that Denodo's "Ease of Data Connectivity" is a strong point, making it easy to connect to various data sources, while dbt's "Self-service" capabilities empower users to manage their data models without heavy reliance on IT support.
- Reviewers say that Denodo's "Quality of Support" is commendable, with responsive customer service, while dbt users mention that the platform's "Documentation Management" is particularly helpful for onboarding new users and maintaining best practices.
- Users report that Denodo's "Real-Time Data Collection" capabilities are beneficial for enterprises needing up-to-date information, while dbt's "Data Modeling" features are favored for their flexibility and ease of use in creating and managing data models.
Pricing
Entry-Level Pricing
Denodo
No pricing availabledbt
No pricing availableFree Trial
Denodo
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.4
30
9.2
142
Ease of Use
8.7
30
9.0
144
Ease of Setup
8.2
18
8.6
83
Ease of Admin
7.5
16
8.5
58
Quality of Support
8.2
27
8.9
114
Has the product been a good partner in doing business?
8.9
16
8.8
52
Product Direction (% positive)
9.1
26
9.7
129
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 Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
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
50
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
Administration
8.8
20
Not enough data
8.2
18
Not enough data
8.1
18
Not enough data
Federation
8.2
18
Not enough data
8.1
18
Not enough data
8.3
17
Not enough data
8.9
15
Not enough data
Transformation
9.0
17
Not enough data
8.0
18
Not enough data
8.8
18
Not enough data
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
42
Not enough data
Feature Not Available
Not enough data
9.4
39
Not enough data
9.2
37
Data Management
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.0
5
Not enough data
Analytics
Not enough data
Not enough data
Security
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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
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
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
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
Denodo and dbt are categorized as Big Data Integration Platforms and Semantic Layer Tools
Unique Categories
Denodo is categorized as Data Fabric, Data Virtualization, Machine Learning Data Catalog, Big Data Processing and Distribution, and Data Warehouse
dbt is categorized as Big Data Analytics, Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, and DataOps Platforms
Reviews
Reviewers' Company Size
Denodo
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
Insurance
16.7%
Banking
13.9%
Information Technology and Services
11.1%
Financial Services
11.1%
Higher Education
5.6%
Other
41.7%
Information Technology and Services
19.4%
Computer Software
16.2%
Financial Services
10.5%
Retail
4.7%
Marketing and Advertising
4.7%
Other
44.5%
Alternatives
Discussions
Denodo 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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