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At a Glance
Market Segments
Enterprise (57.7% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Informatica Data Engineering
Star Rating
(27)4.4 out of 5
Market Segments
Enterprise (57.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Informatica Data Engineeringdbt
Star Rating
(191)4.7 out of 5
Market Segments
Mid-Market (58.5% 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 dbt excels in ease of use with a score of 9.0, while Informatica Data Engineering trails slightly at 8.9. Reviewers mention that dbt's intuitive interface and streamlined workflows make it easier for teams to adopt and utilize effectively.
- Reviewers say that dbt has a higher score in meeting requirements (9.3) compared to Informatica Data Engineering (8.9). Users highlight dbt's robust modeling capabilities and flexibility in data transformation as key features that align well with their needs.
- Users on G2 mention that dbt has a significant advantage in the total number of reviews (158) compared to Informatica Data Engineering (26), indicating a larger user base and more community feedback, which can be beneficial for new users seeking support and resources.
- Reviewers mention that dbt's quality of support is rated higher at 8.9 versus Informatica Data Engineering's 8.6. Users appreciate dbt's responsive customer service and extensive documentation, which help resolve issues quickly.
- G2 users report that dbt shines in product direction with a positive score of 9.8, while Informatica Data Engineering lacks this data. Reviewers express confidence in dbt's commitment to continuous improvement and innovation in the data transformation space.
- Users say that while both products are strong, dbt's focus on the mid-market (59.9% of reviews) allows it to cater specifically to smaller teams, whereas Informatica Data Engineering is more geared towards enterprise solutions (57.7% of reviews), which may not be as accessible for smaller organizations.
Pricing
Entry-Level Pricing
Informatica Data Engineering
No pricing availabledbt
No pricing availableFree Trial
Informatica Data Engineering
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
8.9
6
9.2
139
Ease of Use
8.9
6
9.0
141
Ease of Setup
Not enough data
8.6
80
Ease of Admin
Not enough data
8.5
58
Quality of Support
8.6
6
8.9
112
Has the product been a good partner in doing business?
Not enough data
8.8
52
Product Direction (% positive)
Not enough data
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
Not enough data
8.7
38
Not enough data
8.4
36
Not enough data
8.6
38
Not enough data
8.2
38
Not enough data
8.4
36
Management
Not enough data
8.4
38
Not enough data
9.2
42
Not enough data
8.9
37
Not enough data
8.2
39
Not enough data
8.3
41
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
Informatica Data Engineering and dbt are categorized as ETL Tools
Unique Categories
Informatica Data Engineering is categorized as On-Premise Data Integration
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 Data Engineering
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
Computer Software
15.4%
Information Technology and Services
11.5%
Insurance
7.7%
Health, Wellness and Fitness
7.7%
Financial Services
7.7%
Other
50.0%
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
Informatica Data Engineering 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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