Compare Informatica Data Quality and dbt 
Featured Products
At a Glance
Market Segments
Enterprise (54.5% of reviews)
Mid-Market (57.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Informatica Data Quality
Star Rating
(12)4.5 out of 5
Market Segments
Enterprise (54.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Informatica Data Qualitydbt
Star Rating
(198)4.7 out of 5
Market Segments
Mid-Market (57.4% 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 experience, with many praising its ease of setup and daily usability. Users appreciate how straightforward it is to integrate with tools like BigQuery, making data transformation a seamless part of their workflow.
- According to verified reviews, Informatica Data Quality offers a robust set of features, including a wide range of predefined rules and customization options. Users highlight its ability to handle both structured and unstructured data, which is particularly beneficial for complex data environments.
- Reviewers mention that dbt's collaborative features significantly enhance teamwork, allowing users to work together efficiently without delays during implementation. This collaborative aspect is a key advantage for teams looking to streamline their data processes.
- Users say that while Informatica Data Quality provides strong data profiling and cleansing capabilities, some find it challenging to configure for specific workflows. This can lead to a steeper learning curve compared to dbt, which is often described as more intuitive.
- G2 reviewers highlight that dbt's automation features, particularly in creating data models, instill confidence in the accuracy of KPIs. This level of trust in data integrity is a significant benefit for users who rely on precise reporting.
- According to recent feedback, Informatica Data Quality is praised for its seamless integration with other Informatica products, making it a strong choice for organizations already invested in the Informatica ecosystem. However, its overall user satisfaction lags behind dbt, which has garnered a more favorable reception in recent reviews.
Pricing
Entry-Level Pricing
Informatica Data Quality
No pricing availabledbt
No pricing availableFree Trial
Informatica Data Quality
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
9.0
8
9.2
146
Ease of Use
7.9
8
9.0
148
Ease of Setup
Not enough data
8.6
87
Ease of Admin
Not enough data
8.5
59
Quality of Support
7.7
8
8.9
117
Has the product been a good partner in doing business?
Not enough data
8.6
53
Product Direction (% positive)
10.0
7
9.6
133
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
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough 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
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
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 - Data Governance
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
Management
Not enough data
Feature Not Available
Not enough data
8.2
37
Functionality
Not enough data
Feature Not Available
Not enough data
9.3
45
Not enough data
Feature Not Available
Not enough data
9.5
40
Not enough data
9.2
37
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 Data Quality and dbt are categorized as Data Quality
Unique Categories
Informatica Data Quality is categorized as Data Governance
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
Informatica 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
Insurance
18.2%
Information Technology and Services
18.2%
Telecommunications
9.1%
Package/Freight Delivery
9.1%
Hospital & Health Care
9.1%
Other
36.4%
Information Technology and Services
19.5%
Computer Software
16.4%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.6%
Alternatives
Discussions
Informatica 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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