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- Informatica Cloud Data Integration
- dbt-vs-Informatica Cloud Data Integration
Compare Informatica Cloud Data Integration and dbt 
At a Glance
Market Segments
Enterprise (56.6% of reviews)
Mid-Market (60.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Informatica Cloud Data Integration
Star Rating
(103)4.3 out of 5
Market Segments
Enterprise (56.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Informatica Cloud Data Integrationdbt
Star Rating
(170)4.8 out of 5
Market Segments
Mid-Market (60.1% 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 Informatica Cloud Data Integration excels in its breadth of data sources, scoring 8.7, which allows for extensive connectivity options. In contrast, dbt focuses more on transformation capabilities, achieving a higher score of 9.4 in that area, indicating its strength in data transformation processes.
- Reviewers mention that the ease of data connectivity is a strong point for Informatica, with a score of 9.2, making it user-friendly for integrating various data sources. However, users on G2 highlight that dbt's real-time analytics capabilities, scoring 7.7, could be improved for better performance in dynamic environments.
- G2 users indicate that the automation features in both products are robust, with Informatica scoring 9.2 and dbt slightly higher at 9.3. Reviewers say that dbt's automation capabilities are particularly praised for their efficiency in managing workflows, while Informatica's automated workflows are noted for their reliability.
- Users say that the quality of support is significantly better with dbt, which received a score of 8.9 compared to Informatica's 8.2. Reviewers mention that dbt's support team is responsive and helpful, enhancing the overall user experience.
- Reviewers mention that Informatica's data quality and cleansing features are highly rated at 9.4, making it a preferred choice for users focused on maintaining data integrity. In contrast, dbt's data quality features, while effective, scored lower at 8.0, indicating room for improvement in this area.
- Users report that dbt shines in its documentation management, scoring 8.7, which is crucial for teams needing clear guidance on implementation. Conversely, Informatica's documentation is perceived as less comprehensive, impacting user onboarding and ongoing support.
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Pricing
Entry-Level Pricing
Informatica Cloud Data Integration
No pricing availabledbt
No pricing availableFree Trial
Informatica Cloud Data Integration
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
8.6
76
9.2
121
Ease of Use
8.5
77
9.0
121
Ease of Setup
8.1
49
8.5
61
Ease of Admin
8.2
47
8.4
52
Quality of Support
8.2
76
8.8
96
Has the product been a good partner in doing business?
8.5
48
8.8
46
Product Direction (% positive)
8.5
69
9.8
106
Features by Category
Data Source Access
Not enough data
8.8
35
Not enough data
9.2
37
Not enough data
8.6
30
Data Interaction
Not enough data
8.0
29
Not enough data
8.3
32
Not enough data
9.1
37
Not enough data
9.1
37
Not enough data
9.1
33
Not enough data
9.3
37
Not enough data
8.3
33
Not enough data
8.4
33
Data Exporting
Not enough data
8.4
33
Not enough data
8.5
32
Not enough data
9.3
34
Generative AI
Not enough data
6.1
19
Management
8.6
24
Feature Not Available
8.7
22
8.1
30
Functionality
8.9
30
Feature Not Available
9.1
30
9.3
36
9.2
30
Feature Not Available
9.1
29
9.4
32
8.9
28
9.2
30
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
18
Not enough data
8.7
18
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
9.0
36
Not enough data
9.0
34
Not enough data
9.1
35
Not enough data
9.5
35
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
8.8
29
Not enough data
6.5
20
Monitoring and Management
Not enough data
8.6
30
Not enough data
8.9
37
Cloud Deployment
Not enough data
8.6
23
Not enough data
9.3
18
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
8.8
30
Not enough data
8.4
28
Not enough data
8.9
32
Not enough data
Feature Not Available
Functionality
Not enough data
8.6
29
Not enough data
8.8
28
Not enough data
8.5
29
Administration
Not enough data
8.2
31
Not enough data
8.9
29
Not enough data
9.1
29
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Data Transformation
Not enough data
7.9
20
Not enough data
9.2
26
Connectivity
Not enough data
7.9
16
Not enough data
8.3
16
Not enough data
8.3
22
Not enough data
8.5
19
Operations
Not enough data
Feature Not Available
Not enough data
9.5
25
Not enough data
8.5
20
Not enough data
8.4
18
Not enough data
8.1
19
Functionality
Not enough data
8.4
28
Not enough data
8.2
27
Not enough data
8.3
29
Not enough data
7.9
29
Not enough data
8.0
27
Management
Not enough data
8.0
28
Not enough data
9.5
32
Not enough data
8.8
29
Not enough data
8.0
30
Not enough data
8.3
33
Generative AI
Not enough data
6.1
16
Not enough data
6.4
16
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, and DataOps Platforms
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
14.1%
Computer Software
14.1%
Insurance
9.1%
Higher Education
6.1%
Retail
5.1%
Other
51.5%
Computer Software
17.9%
Information Technology and Services
14.9%
Financial Services
11.3%
Retail
5.4%
Marketing and Advertising
5.4%
Other
45.2%
Most Helpful Reviews
Informatica Cloud Data Integration
Most Helpful Favorable Review
Sayali N.
Verified User in Automotive
It is very simple and easy to use. This product overcomes all the shortcomings of the legacy system.
Most Helpful Critical Review
Verified User in Consumer Goods
The tool can, at times, be very slow. Additionally, the drill down lags and is difficult to know if the system is processing, locked up, or not doing anything at all. the buttons do not necessarily reset themselves on the dashboard when selecting a...
dbt
Most Helpful Favorable Review
Verified User in Information Technology and Services
I love that we can document destinations and sources and automatically test the sources. We recently tried making dbt package and hopefully will soon bring it to production.
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...
Sayali N.
Verified User in Automotive
It is very simple and easy to use. This product overcomes all the shortcomings of the legacy system.
Verified User in Information Technology and Services
I love that we can document destinations and sources and automatically test the sources. We recently tried making dbt package and hopefully will soon bring it to production.
Verified User in Consumer Goods
The tool can, at times, be very slow. Additionally, the drill down lags and is difficult to know if the system is processing, locked up, or not doing anything at all. the buttons do not necessarily reset themselves on the dashboard when selecting a...
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
Informatica Cloud Data Integration 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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