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Compare Informatica Cloud Data Integration and dbt 
At a Glance
Market Segments
Enterprise (57.0% of reviews)
Mid-Market (57.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Informatica Cloud Data Integration
Star Rating
(105)4.3 out of 5
Market Segments
Enterprise (57.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Informatica Cloud Data Integrationdbt
Star Rating
(197)4.7 out of 5
Market Segments
Mid-Market (57.2% 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 dbt excels in user satisfaction, boasting a higher overall rating compared to Informatica Cloud Data Integration. Users appreciate dbt's ease of setup and daily usability, highlighting its seamless integration with tools like BigQuery and version control systems.
- According to verified reviews, Informatica Cloud Data Integration is praised for its powerful transformation capabilities and user-friendly interface. Users note that it allows for efficient cloud-based ETL processes without the need for on-premise installations, making it accessible and scalable.
- Reviewers mention that dbt provides a structured approach to data work, which enhances collaboration among teams. Users find that it automates the creation of data models, instilling confidence in the accuracy of their KPIs, a feature that is particularly beneficial for data-driven organizations.
- Users say that while Informatica Cloud Data Integration offers robust features, it has fewer recent reviews, which may indicate a decline in user engagement or satisfaction. In contrast, dbt has garnered a significant number of recent reviews, suggesting a more active user base and ongoing improvements.
- G2 reviewers highlight that dbt's automation features are superior, with users noting that it simplifies the transformation process and enhances productivity. This is contrasted with Informatica, where users appreciate the tool's scalability but may find some aspects of its setup less intuitive.
- According to recent user feedback, both products have their strengths, but dbt's higher ratings in support quality and product direction indicate a more responsive and evolving tool. Users of dbt feel that their feedback is valued, which contributes to a more positive overall experience.
Pricing
Entry-Level Pricing
Informatica Cloud Data Integration
No pricing availabledbt
No pricing availableFree Trial
Informatica Cloud Data Integration
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.5
77
9.2
145
Ease of Use
8.5
78
9.0
147
Ease of Setup
8.1
50
8.6
86
Ease of Admin
8.2
47
8.5
59
Quality of Support
8.1
77
8.9
116
Has the product been a good partner in doing business?
8.5
48
8.6
53
Product Direction (% positive)
8.5
70
9.6
132
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
8.6
25
Feature Not Available
8.7
22
8.2
37
Functionality
9.0
31
Feature Not Available
9.1
31
9.2
44
9.2
30
Feature Not Available
9.1
30
9.5
40
8.9
28
9.2
37
Development
7.9
29
Not enough data
7.5
14
Not enough data
8.3
14
Not enough data
8.1
16
Not enough data
8.1
14
Not enough data
8.9
16
Not enough data
8.8
10
Not enough data
Management
8.2
19
Not enough data
8.4
16
Not enough data
8.5
19
Not enough data
8.8
19
Not enough data
7.8
16
Not enough data
Security
8.5
12
Not enough data
8.3
14
Not enough data
8.3
12
Not enough data
Integration Options
9.2
12
Not enough data
8.9
12
Not enough data
9.0
13
Not enough data
8.7
10
Not enough data
Deployment
9.0
15
Not enough data
8.8
15
Not enough data
Data Management
Not enough data
9.2
50
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
Informatica Cloud Data Integration and dbt are categorized as ETL Tools
Unique Categories
Informatica Cloud Data Integration is categorized as iPaaS
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, Data Quality, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Informatica Cloud Data Integration
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
15.0%
Computer Software
14.0%
Insurance
9.0%
Higher Education
6.0%
Retail
5.0%
Other
51.0%
Information Technology and Services
19.1%
Computer Software
16.5%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.8%
Alternatives
Discussions
Informatica Cloud Data Integration 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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